Short intro to PyTyrant/Tokyo Tyrant/Tokyo Cabinet by Michael Schurter

PyParsing examples by Brett Carter

Machine Learning topics (specifics TBD, John Melesky)

The Portland Portland Python User Group meets every second Tuesday at CubeSpace in SE Portland, Oregon.

Through the implementation of an honest-to-goodness Bayesian classifier, we’ll tour the major topics of supervised machine learning: tokenization, feature selection and vectorization, model training and tuning, and execution. Time permitting, we’ll touch on other techniques and topics.

About the speaker:

John Melesky’s been programming on the web since gopher was a legitimate competitor. He is the team lead for the Analytics team at Janrain, where he gets to get his hands covered in all sorts of interesting data.

This is the inaugural meeting of The Portland Data Science Group. Portia Burton will give a talk on what is 'data science', and highlight some cool tools and resources to help you get started with data mining, and visualization. The rest of the time will be spent working on projects.

On Tuesday we learned about the Twitter REST and Streaming API, why not use that knowledge to build an application? We will spend the afternoon making kick ass apps! Missed the Twitter API presentation? No worries, read through the twitter documentation, and browse through the Mining the Social Web repo for more background. All questions, languages, and levels are welcomed!

Sorry folks. We'll re-schedule soon!

PDX Speech and Language Processing Happy Hour is an informal gathering of individuals working in computational linguistics, speech, and natural language processing in the Portland metro area. No talks, just socializing, but shop talk encouraged. Some folks will be around 7-10, so drop in as your schedule permits. At Orenco Taphouse.

Rescheduled! PDX Speech and Language Processing Happy Hour is an informal gathering of individuals working in computational linguistics, speech, and natural language processing in the Portland metro area. No talks, just socializing, but shop talk encouraged. Some folks will be around 7-10, so drop in as your schedule permits. At Orenco Taphouse.

Soren Macbeth, chief data scientist at yieldbot, will discuss machine learning techniques using cascalog, storm, and spark.

The session will begin with one or more lightning talks at 6:45pm followed by Soren's presentation at 7:00pm.

PDX Speech and Language Processing Happy Hour is an informal gathering of individuals working in computational linguistics, speech, and natural language processing in the Portland metro area. No talks, just socializing, but shop talk encouraged. Some folks will be around 7-10, so drop in as your schedule permits. At the Lucky Labrador Beer Hall.

PDX Speech and Language Processing Happy Hour is an informal gathering of individuals working in computational linguistics, speech, and natural language processing in the Portland metro area. No talks, just socializing, but shop talk encouraged. Some folks will be around 7-10, so drop in as your schedule permits. See you at EastBurn!

This is the start of a new data science meetup. The goal is to help teach each other data science magic on a monthly basis in the form of workshops where participants build the presented material along with the presenter. This first session will be on decision trees. We'll cover the theory behind decision trees and use the IPython notebook and the sklearn library for a small case study.

Come, network, learn something new, teach someone else something new, and let's start this thing off right.

Please RSVP on http://www.meetup.com/Portland-Data-Science-Workshops/events/207427242

Join us for a workshop on using multiple classifier to make one better classifier. We'll start with an overview of the common types of ensemble learning and apply one to decision trees to create random forests. Please be familiar with the content in this post on decision trees.

RSVP here.

Bring your laptop. We'll bring the pizza.

Join Cambia on January 7th as we host our open house discussing the future of technology in healthcare.

Tisson Mathew, Vice President, Data & Technology Solutions who recently joined Cambia from Amazon.com will be discussing how Cambia uses Micro Services, AWS Cloud, DevOps, Machine Learning and Data Science to build & operate innovative technology solutions to deliver seamless, frictionless healthcare experience to consumers.

Pizza and beverages will be served so come hungry!

• If you are a software professional we would love for you to join us. We have multiple positions in software development, software development management, front-end development and other tech positions available (view them here). Recruiters will be available to answer any of your questions.

A monthly gathering for Portland area tech junkies. More specifically, those focused on data, emerging technology, and general IT topics. Industry vets, IT pros, nerds, geeks, tech philosoraptors, whatever.... Whether 5 or 50 this is an awesome opportunity to get together and talk shop, learn from peers, or just have some beers and a good time.

No management, No selling, No recruiting, No problems. Talking to people about your product(s) or career networking is fine but people "leeching" on the attendance isn't cool so don't do it. Industry folks with expense cards typically cover festivities but this isn't a "sponsored" event and we don't intend to turn BwE into "powerpoint parties". Venue will be dynamic alternating between locations and if group size demands we'll book a location to support.

If you're new to the group or haven't been out in a while we're a pretty dynamic crowd and always have a lot of fun.

The CSS group will meet informally at Harder House 104 at 4pm on 10/7/16, and begin discussion of this month's article at 4:30. We start wrapping up the discussion at 5:30 and continue more informally until 6pm.

The reading for the October discussion is here: https://arxiv.org/abs/1608.08225 . We recommend reading (or at least trying to read) the article beforehand so that you'll be prepared to participate meaningfully in the discussion. This is true even if the article seems to be "over your head." Trying to understand a challenging topic can be very worthwhile.

But even if you are not able to do the reading, you are still welcome to come to the discussion, meet new friends, and just listen if that's your preference.

A monthly gathering for Portland area tech junkies. More specifically, those focused on data, emerging technology, and general IT topics. Industry vets, IT pros, nerds, geeks, tech philosoraptors, whatever.... Whether 5 or 50 this is an awesome opportunity to get together and talk shop, learn from peers, or just have some beers and a good time.

No management, No selling, No recruiting, No problems. Talking to people about your product(s) or career networking is fine but people "leeching" on the attendance isn't cool so don't do it. Industry folks with expense cards typically cover festivities but this isn't a "sponsored" event and we don't intend to turn BwE into "powerpoint parties". Venue will be dynamic alternating between locations and if group size demands we'll book a location to support.

If you're new to the group or haven't been out in a while we're a pretty dynamic crowd and always have a lot of fun.

If you are planning to jump the Machine Learning bandwagon, wait no more! In this introductory ML meetup, we will explore how to use Machine Learning using Google Cloud ML APIs. Here are some fun things we will show how to do using the ML API's:

• Understand the content of an image: Classify images into thousands of categories (e.g., "sailboat", "Eiffel Tower"), detect individual objects and faces within images, and find and read printed words contained within images.

• Convert audio to text: Recognize over 80 languages and variants, to support your global user base. Transcribe the speech into text to enable use cases like command-and-control through voice.

• Learn the structure and meaning of text: Extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can also use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app.

Women Who Code Portland and Portland R User Group are coming together to host a night full of talks on R and Machine Learning and an opportunity to network with like-minded individuals.

Program

6.00 - 6:30: Doors Open

6.30 - 7:30: Talks

7:30 - 8:00: Networking and wrap up.

Talk #1 - Predictive Analytics and Machine Learning in R - Myffy Hopkins

All data has a story to tell. You can force a story upon it, or you can breath life into it to let it speak for itself. Myfanwy "Myffy" Hopkins has been using advanced statistical methods, R, and machine learning for over 10 years to transform data into information for decision making. The tools provided by R packages are unparalleled at quickly transforming data into a working predictive model. Myffy brings the statistical and data mining expertise needed to make R a highly productive space for generating predictive models using machine learning methods. In her talk, Myffy will show how R makes the difficult statistical concepts of Predictive Analytics manageable to execute. Seeing the actual results of a predictive model will help get through the more grueling parts of the learning curve to becoming a Data Scientist.

Talk #2 - Automated Feature Selection of Predictors in Electronic Medical Records Data - Jessica Minnier

Jessica Minnier is an assistant professor of biostatistics at Oregon Health & Sciences University in the OHSU-PSU School of Public Health. Her research interests include statistical methods for risk prediction and classification, the analysis of 'omics data, and the analysis of large data sets such as electronic health records data. She is interested in reproducible research as well as statistical computing and data visualization with R and shiny.

In her talk, Jessica will talk about "emrselect" - https://github.com/jminnier/emrselect. "emrselect" is an R package that automates the feature selection method for phenotype prediction with Electronic Medical Record (EMR) data to reduce the number of candidate predictors and in turn improve model performance by relying entirely on unlabeled observations. The proposed method generates a comprehensive surrogate for the underlying phenotype with an unsupervised clustering of disease status based on several highly predictive features such as diagnosis codes and mentions of the disease in text fields available in the entire set of EMR data. A sparse regression model is then built with the estimated outcomes and remaining covariates to identify those features most informative of the phenotype of interest. Empirical results suggest that this procedure reduces the number of gold-standard labels necessary for phenotyping, thereby harnessing the automated power of EMR data and improving efficiency.

Who Should Attend?

Anyone who is interested in exploring the world of R and Machine Learning or just curious to learn what they are. By attending our event, you are agreeing to support our mission and follow our Code of Conduct.

This will be the first event in a series we're doing on Natural Language Processing.  It will be a highly accessible workshop covering the concepts of n-grams and bag-of-words.  We will work within the Python Notebook (Jupyter).

Allen Grimm will be presenting content / guiding the workshop.  With years of experience in modeling and predicting user behavior, he has recently begun several NLP projects and is looking forward to sharing the first steps of his journey.  Contact him through: GitHub, LinkedIn, Twitter, 

Event Structure:

• 6:45 - Doors open.

• 7:00 - Assistance with Jupyter installation and a mini-course in using the notebook will begin at 7.

• 7:20 - The NLP content will begin.

• 8:00 - Networking.

• 8:30 - We'll head to The Upper Lip, where we dig deep into data science topics over a beer

Let's start off the group by working through Fast.ai's 7 week course, Practical Deep Learning ForCoders, Part 1

The describe the course as:

Welcome to fast.ai's 7 week course, Practical Deep Learning For Coders, Part 1, taught by Jeremy Howard (Kaggle's #1 competitor 2 years running, and founder of Enlitic). Learn how to build state of the art models without needing graduate-level math—but also without dumbing anything down. Oh and one other thing... it's totally free!

We'll meet, do introductions and discuss Lesson 1: Image recognition. Please work through what you can from the lesson and come share your findings.

Deep learning (DL) has become an important topic in the AI and machine learning world. New advances in algorithms, hardware and software have made it a critical part of self driving cars, language translation, image understanding, medical analysis, and many other fields. Though DL systems are commonly written in Python (wrapping C/C++ libraries) we want to explore options available to Clojure developers.

We'll have a 2 part meeting with myself (Julio) and JR leading extended lightning-talk style presentations.

First, Julio will guide us through a discussion on:

• the basics of deep learning and the common tools and libraries • Java and Clojure options (DeepLearning4J and Cortex) and when they may be applicable.

In the second part JR will discuss his experiences while taking a deep learning for self driving cars course.

JR Says: Neural networks are just plain spooky. In just the past few years, they've gotten so good at classifying images (is this a cat or a dog? is this tissue cancerous or non-cancerous?) that they're often better at their task than humans are. In this talk, you'll see how to use a neural network - the same one used by comma.ai, a real-life self-driving car company - to drive a simulated car better than JR can.

website

Sergey Kolychev will give an overview of AI::MXNet, a Perl interface to the MXNet machine learning library. https://metacpan.org/release/AI-MXNet

We may find a pub or suitable source of refreshments after.

You're invited to the TECHFLUENCE: Portland - May Meetup with presentations from:

• Max Folley (Creative Technology Lead, W+K)

• Grant Thomas (Creative Technology Lead, W+K)

• Toby Roberts (President/COO, Happy Finish)

• Jerry Michalski (Strategy Director, Ziba Design & Founder of REX)

• Moderated by Todd Greco (Interaction Design Director, Ziba)

Join us as we dive into the conversation and become informed, educated, and inspired by the state of Artificial Intelligence.

Doors at 5:30pm, show starts promptly at 6pm. Pizza & drinks to follow.

Ok, it's been a little over a month since the last meeting and I hope you are ready to get back into it.

Keep in mind this is a 'peer mentoring' style group. It does not matter what 'level' you are at. Please come with questions and projects and a willingness to discuss and help each other.

Lets start with the first video from part 2 of the Fast.AI course (on style transfer) and the first chapter of the Deep Learning Book (links below).

We're at a new location that should be quieter and have more parking. There is no food there but you can bring your own as long as you clean up afterwards. We'll see how it turns out.

Looking forward to it.

Julio

http://forums.fast.ai/t/part-2-early-release-videos-now-available/2621

http://www.deeplearningbook.org

About our Club

http://www.freeknowledgemission.org/ 

We're located inside the North entrance of the Nike Victory/Edo Building in Air Zoom Blade Conference Room.

This week we'll do Lesson 1 and Lesson 9. Pick which everyone you are comfortable with (or both) and work through the material and then come out and share your experiences and help others. For extra credit there are lots of variations you can implement as well as re-implement the code in pure TensorFlow and/or PyTorch.

Come join us every Sunday at the Tech Academy. This is an interactive discussion group, with digital projector and whiteboard. Anybody can jump up, give their opinion or ask a question. We cover from fundamentals to advance. Everyone is a teacher and student.

We discuss everything from predictive analytics, machine learning, data pipelines, autonomous vehicles to Python and R programming.

Do you want to start using Kaggle? Why not learn as a group? I'll share the basics and an example how to start the competition "Titanic - Machine Learning from Disaster".

The second half of our session, we'll experiment with our open idea session. The winner will be awarded Innovator of the week. The winner has the highest potential to be added to our next session.

Here is the link to my transcript and video links. Enjoy! https://portlanddatascience.wixsite.com/home/single-post/2017/06/19/Kaggle-Session

Abstract: Recent progress in AI and machine learning is stimulating interest in applying AI in high stakes applications such as self-driving cars, surgical robots, and autonomous weapons systems. These applications require high levels of software assurance and resilience, but virtually all AI research has focused on raw performance without paying attention to questions of robustness and resilience.

In this talk, I will survey AI research that aims to create robust systems. I will consider both robustness to “known unknowns” and robustness to “unknown unknowns” — that is, to unmodeled aspects of the environment.

One technology that is relevant to creating robust AI systems is anomaly detection. In the second part of the talk, I will survey the work at Oregon State on anomaly detection. I’ll discuss our recent research on applying anomaly detection to problems of fraud detection and equipment diagnosis and discuss methods for explaining anomaly alarms to an analyst and incorporating analyst feedback into the anomaly detection process.

Bio: Dr. Tom Dietterich (AB Oberlin College 1977; MS University of Illinois 1979; PhD Stanford University 1984) is Professor Emeritus and Director of Intelligent Systems Research in the School of Electrical Engineering and Computer Science at Oregon State University, where he joined the faculty in 1985. Dietterich has devoted his career to machine learning and artificial intelligence. He has authored more than 180 publications and two books. His research is motivated by challenging real world problems ranging from personal information management, to drug design, to sustainability, and most recently to problems in safe and robust artificial intelligence. Dietterich has also devoted many years of service to the research community. He is Past President of the Association for the Advancement of Artificial Intelligence, and he previously served as President of AAAI (2014-16) and as the founding president of the International Machine Learning Society (2001-08). Other major roles include Executive Editor of the journal Machine Learning (1992-98), co-founder of the Journal for Machine Learning Research (2000), and program chair of AAAI 1990 and NIPS 2000. He is currently the moderator for machine learning on arXiv. Dietterich is a Fellow of the ACM, AAAS, and AAAI.

This week we'll do Lesson 2 and Lesson 10. Pick which everyone you are comfortable with (or both) and work through the material and then come out and share your experiences and help others. For extra credit there are lots of variations you can implement as well as re-implement the code in pure TensorFlow and/or PyTorch.

Hello from Garrett Broughton.

Michael Wild is sharing his WiPy Python hardware device this week. Find out more about it here: https://docs.pycom.io/wipy/wipy/general.html#upgrading-the-firmware-over-the-air

If time permits, we'll also cover the beginning of our group Kaggle competition.

Do you want to learn machine learning? The best place to start is creating a predictive model for the Titanic.

Join us as a team as we work on it together. We'll kick it off with the basics reviewing the dataset, using Python and Juypter.

We'll talk about different models we can use. We'll spend a few sessions together to prepare us to submit on Kaggle.

Join us for the fun!

This week we'll do Lesson 3 and Lesson 11. Pick which everyone you are comfortable with (or both) and work through the material and then come out and share your experiences and help others. For extra credit there are lots of variations you can implement as well as re-implement the code in pure TensorFlow and/or PyTorch.

We had many volunteers to talk about Python. We'll share the basics, Logistic Regression, and how to solve the Kaggle Titanic competition.

We'll have a few lightning talks then an open session for new topics.

You are welcome to join us and share your knowledge!

This week we'll do Lesson 4 and Lesson 12. Pick which everyone you are comfortable with (or both) and work through the material and then come out and share your experiences and help others. For extra credit there are lots of variations you can implement as well as re-implement the code in pure TensorFlow and/or PyTorch.

All aboard the Titanic. Your task, if you choose to accept it, pick a character on the Titanic. Then, you must build a machine algorithm to predict if you survived.

Now that you are afraid of dying, what's the best way to predict your survivorship?

Python Pandas and Numpy. If you want to learn how to build a machine learning algorithm check us out next Saturday at 1 pm in the Hillsboro Brookwood Library. We be using the Kaggle dataset to build our code.

Come join us for a panel discussion with Larry Gonzales, an internal recruiter from Intel, and others, in the Hillsdale Library Meeting Room. It is a large room with a capacity of upto 46 people.

The host and panel will discuss what recruiters look for for data-driven positions, from your Resume, Linkedin profile, Kaggle, Github accounts, etc. Lots of tips and advice from the "inside".

Questions will then be opened to the attendees.

Automation is the future of computing and conversational interfaces are the future of human-computer interactions. However, creating these systems requires us to reverse engineer some of the most fundamental aspects of life, which can be difficult and overwhelming — especially if you don’t know where to start. 

 Designing Intelligence will: 
• Help the you understand what’s happening in the artificial intelligence space and where it’s been. 
• Explain why you’ll be making one of these systems sooner than you think. 
• Teach you how to create the products that will thrive in the age of automation. 
• Give you language to help you sell your ideas to your team and bring your dreams to life. This is one talk you’ll regret missing.

Guest Speaker Joe Toscano will be presenting - @realjoet.

Formerly an Experience Designer for R/GA, Joe worked as a consultant for Google, where he and his team oversaw the Google product ecosystem and helped Google take products to market. This meant he and his team had to understand how each product strategically fit within the Google ecosystem now, how each product would evolve, over time, and how the decisions being made by individual teams would affect Google’s larger business goals, as a whole. Understanding this allowed him and his team to be confident that the decisions they were making would strategically move Google’s business forward.

Joe has since left his job at R/GA to pursue writing his book, Designing Intelligence. The book is being written to help people understand the current state of automation, where it's been and where it's going, how to design products that will thrive in the age of automation, and what role we, as technical talent, play in creating an inclusive future through automation. He hopes to help create ethical automation designers who not only understand best practices of making these systems but also understand the impact they'll be making on the world, through automation.

Note the earlier-than-normal start time of 6p.

Do you want to learn Python and Machine Learning? Check out our group. We're getting started with the Titanic competition. Find out you can solve a real world Kaggle Titanic problem with Python and Machine Learning.

At the end of the session, we'll brainstorm a new hot topic for the following week presentation. The winning idea will get the innovator of the week.

Join the fun!

This week we'll be presenting Random Forest on the Titanic data set.

Do you want to learn Python and Machine Learning? Check out our group. We're getting started with the Titanic competition. Find out you can solve a real world Kaggle Titanic problem with Python and Machine Learning.

At the end of the session, we'll brainstorm a new hot topic for the following week presentation. The winning idea will get the innovator of the week.

Join the fun!

Here's our agenda

We've located at the Hillsboro Public Library. We'll be meeting in Conference room A, on the second floor.

11:00 - noon : Instruction ,
noon - 2pm : Social / Discussion ,

Come join us every Sunday morning at the Tech Academy.This is an interactive and immersive instructor lead meeting. This week we will cover the basic foundations of preparing datasets, simple and multiple linear regression, decision trees, ensemble methods and confusion matrices.

We use a digital project and whiteboard. The course is given at a comfortable pace, so that any attendee can interrupt and ask a question. No question is too small or wrong.

We ask all the attendees to be patient so that everyone attending learns at the same pace so that all attendees are at the same level at the end of the hour.

Attendees are encouraged to stay for our following event Hack Days, which is a open discussion, projects and socializing for beginners to advance.

Learn the fundamentals of programming as you get introduced JavaScript, the most popular language on the job market. Join this workshop and start your journey towards becoming a developer.

We'll cover everything you need to know to start learning the language, including different data types, variables, and functions. We’ll finish the workshop with a roadmap you can follow to continue learning JavaScript after the meetup.

Before you come:

-Be sure to bring a laptop. If you don’t have one, we can pair you with someone who does.

How to find us: Located on the corner of SE MLK and SE Main with entrance facing MLK. Street parking available West of MLK and East of Grand - Free after 7pm - Pay to Park via Parking Kitty App/Meters. City Center Parking Lot Corner of SE Madison & SE 7th. TriMet Stops for Streetcar (A&B Loops) and Busses for 1-2 Blocks surrounding location.

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Please click HERE to RSVP your spot on Eventbrite!

This is a joint meetup with the CocoaHeads (iPhone) meetup. https://www.meetup.com/PDX-iOS-CocoaHeads/events/241700704/

We are going to explore a machine learning framework, Core ML, that Apple announced for the next version of iOS.

Project-based, hands-on learning is the best way to learn how to code. Join us as we teach you the fundamentals of HTML & CSS while building an interactive website.

In this workshop you’ll learn key HTML & CSS concepts as we review some sample code. Then you’ll start building your own site with the help of our instructor and TAs. See an example before you come: this webpage was made by an attendee at one of our last events!

At the end of the night you’ll have your own site live on the internet to share with your friends and family.

Before you come:

-Some previous exposure to HTML/CSS is helpful, but not required.

-Be sure to bring a laptop. If you don’t have one, we can pair you with someone who does.

How to find us: Located on the corner of SE MLK and SE Main with entrance facing MLK. Street parking available West of MLK and East of Grand - Free after 7pm - Pay to Park via Parking Kitty App/MetersCity Center Parking Lot Corner of SE Madison & SE 7th. TriMet Stops for Streetcar (A&B Loops) and Busses 1-2 Blocks Surrounding location

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Please click HERE to RSVP your spot on Eventbrite!

Full details: https://www.meetup.com/pdxnode/events/241731900/

Our incredible speakers for PDXNode August edition are Suz Hinton (@noopkat), and Bret Comnes (@uhhyeahbret)!

Suz will talk about machine learning in Node, and Bret will be share about the amazing choojs frontend framework & choo6 release! (choo.io)

We had several new college students join us last week. We had a new idea to help college students with open data. Bring your college problems and we can help brainstorm how to help.

Did you know the top skill people want to learn is a language? How about a programming language like Python? Python is very powerful in Machine Learning. Check out our group on Saturday's at 1 PM.

We're working together to solve the Kaggle Titanic competition. Find out how you can learn Python and Machine Learning very easily and quickly.

At the end of the session, you'll get an opportunity to brainstorm and present new topic ideas for the following week. Did you know you learn exponentially more when you prepare a topic vs attending as a learner? The winning idea will get the innovator of the week.

Join the fun!

Looking for a fun way to start learning how to code? Join us as we teach you how to build a simple guessing game while learning the programming fundamentals of the JavaScript programming language.

With each new programming concept you learn, you will add new features to game - including keeping track of how many guesses you’ve had and starting a new game from scratch. See an example before you come: this guessing game was made by an attendee at one of last events!

Before you come:
Experience with HTML/CSS is ideal, as well as some familiarity with JavaScript.
Be sure to bring a laptop. If you don’t have one, we can pair you with someone who does.

How to find us:

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch.
Free street parking available on NE Davis & 3rd
City Center Parking Lot across from Oregon Convention Center on NE Lloyd
TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside

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Please Click Here to RSVP your spot on Eventbrite!

Every year, Glassdoor releases it’s top 25 highest paying jobs. This year, almost half of them are in the tech field; if you’re thinking about getting into tech, now is the right time.

We’ll cover the different ways you can break into tech and outline the pros and cons of all the options within the Portland tech community. Then we’ll dive into the technical career opportunities that are available in Portland - from jobs you’ve heard of like front end developer, to jobs that are new to the area, like developer evangelist.

How to find us:

Located in the middle of the Burnside Bridgehead project Slate building. 

Entrance at the intersection of the Streetcar line & NE Couch. 

Free street parking available on NE Davis & 3rdCity Center Parking Lot across from Oregon Convention Center on NE Lloyd

TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Please click here to RSVP your spot on Eventbrite!

Did you know the top skill people want to learn is a language? How about a programming language like Python? Python is very powerful in Machine Learning. Check out our group on Saturday's at 1 PM.

We're working together to solve the Kaggle Titanic competition. Find out how you can learn Python and Machine Learning very easily and quickly.

At the end of the session, you'll get an opportunity to brainstorm and present new topic ideas for the following week. Did you know you learn exponentially more when you prepare a topic vs attending as a learner? The winning idea will get the innovator of the week.

Join the fun!

We have had a wonderful turnout of college students. It would be great to help with your projects. Please bring stop by and check us out.

Did you know the top skill people want to learn is a language? How about a programming language like Python? Python is very powerful in Machine Learning. Check out our group on Saturday's at 1 PM.

We're working together to solve the Kaggle Titanic competition. Find out how you can learn Python and Machine Learning very easily and quickly.

At the end of the session, you'll get an opportunity to brainstorm and present new topic ideas for the following week. Did you know you learn exponentially more when you prepare a topic vs attending as a learner? The winning idea will get the innovator of the week.

Join the fun!

JavaScript is the language of the browser. Every website you’ve ever used is built with JavaScript, with interaction powered by the popular jQuery library. Even Stanford’s intro to Computer Science course now uses JavaScript as its teaching language. Learn how to use JavaScript and jQuery and build a simple web app in this workshop. Together we’ll learn key jQuery concepts like manipulating the DOM and using event listeners to update our app in real time. See an example before you come: this web app was made by an attendee at one of last events!

Before you come:
Experience with HTML/CSS is ideal.
Be sure to bring a laptop. If you don’t have one, we can pair you with someone who does.

How to find us:
Located in Suite 1100 of the Union Bank building corner of SW Washington & Broadway 

Street parking available every block - Pay to Park via Parking Kitty App/Meters 

Parking Garages (across the street) - City Center Parking & ACE 

TriMet Buses, Streetcar, and MAX Lines accessible

Project-based, hands-on learning is the best way to learn how to code. Join us as we teach you the fundamentals of HTML & CSS while building an interactive website.

In this workshop you’ll learn key HTML & CSS concepts as we review some sample code. Then you’ll start building your own site with the help of our instructor and TAs. See an example before you come: this webpage was made by an attendee at one of our last events!

At the end of the night you’ll have your own site live on the internet to share with your friends and family. Before you come:
Some previous exposure to HTML/CSS is helpful, but not required.
Be sure to bring a laptop. If you don’t have one, we can pair you with someone who does.

How to find us:
Located in Suite 1100 of the Union Bank building corner of SW Washington & Broadway
Street parking available every block - Pay to Park via Parking Kitty App/Meters
Parking Garages (across the street) - City Center Parking & ACE
TriMet Buses, Streetcar, and MAX Lines accessible

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Please Click Here to RSVP for your spot on Eventbrite

Data Scientists,

Do you want to learn Python the Machine Learning Language?

or

Did you know MongoDB is the most popular NoSQL database? How interesting would it be if you could see it on a Raspberry Pi?

or

How about the schema of Stack Exchange the extremely useful site for stack overflow? Here is a link to Matt's presentation.

We have three excellent presentations this week. At the end of the session, we'll brainstorm a new interesting topic for the following week presentation. The winning idea will get the innovator of the week.

Presenter Topic Time Everyone Introductions 1:00 - 1:10 PM Matt SQL Project 1:10 - 1:35 PM Michael Raspberry Pi & Mongo 1:35 - 2:00 PM Garrett Python 2:00 - 2:20 PM Everyone Brainstorm & Vote Topics 2:20 - 2:30 PM

When you’re learning to code, one of the biggest decisions you can make is what programming language to start with. Depending on who you ask, you’ll get a different answer every time. We’re here to set the record straight.

We’ll take everything important into account: versatility of the top programming languages, the Portland job market, starting salaries, and more. In the end, we’ll end up with an answer that can help shape the rest of your development career.

Must RSVP on Eventbrite here.

How to find us: Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch. Free street parking available on NE Davis & 3rd. City Center Parking Lot across from Oregon Convention Center on NE Lloyd. TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside

Using JavaScript and Twitter's API we will create an "intelligent" bot. An easy and fun way to learn how JavaScript can be used to build real projects. Our bot will search for tweets mentioning different keywords and reply to them with a pre-defined answer.

This workshop won't be a step-by-step JavaScript introduction. Instead we will build something useful and fun, while learning some basic JavaScript concepts along the way.

Must RSVP on Eventbrite here.

Before you come: Experience with JavaScript is ideal. Be sure to bring a laptop. If you don’t have one, we can pair you with someone who does. Also make sure to make a Twitter account if you don't already have one.

How to find us: Entrance on NW Everett between 13th & 14th. Free Street Parking available after 6pm. City Center & Brewery Blocks parking grages & lots available. TriMet Stops on NW 10th, 11th, 14th, Everett, Glisan, and Couch

Do you want to learn Python the Machine Learning Language?

Do you want to see a live demo of an Arduino robot?

How about the Stack Exchange Schema?

We're exploring all of these innovative areas all in one session. We'll share a ton of knowledge in a short amount of time. Don't miss it!

At the end of the session, you'll get an opportunity to brainstorm and present new topic ideas for the following week. Did you know you learn exponentially more when you prepare a topic vs attending as a learner? The winning idea will get the innovator of the week.

Here's a link to my previous Python session https://youtu.be/OX2fVsKbwXg

Here's a link to our topic agenda https://docs.google.com/spreadsheets/d/15cmTfCJdwttpYEONdY-uGxMbCo7Z8_sWCKznKknGZ4k/edit?usp=sharing

Join the fun!

Join us for a special evening with Daniel Wilson, author of the New York Times bestselling Robopocalypse and its sequel Robogenesis, as well as seven other books.

Daniel, who earned a PhD in Robotics from Carnegie Mellon University, as well as Masters degrees in Artificial Intelligence and Robotics will be reading from his most recent novel, The Clockwork Dynasty.

After the reading, Daniel will be joined by Todd Greco, Ziba’s Director of Interactive Design, in a conversation exploring where science, technology and design overlap, and the future of machines. We look forward to audience engagement in this conversation. Daniel will be available for a book signing following the speaking program.

The Clockwork Dynasty imagines a history in which humanlike court automatons secretly served the great empires of antiquity. Centuries later, the same machines are running out of power. As the modern-day survivors cannibalize each other for energy, a human scientist will risk her life to find the origin of the machine race, and the key to saving it.

Doors at 5:30pm, show starts promptly at 6pm. Pizza & drinks to follow.

Data Scientists,

Do you want to learn about an unmanned robotic spacecraft Cassini?

How about programming a game in Python?

What about the data scheme behind Stack Overflow?

We have three amazing topics with code to share with the group. At the end of the session, we'll brainstorm next topics and someone will be awarded innovator of the week

Here's a YouTube of the previous session on Pygame. https://youtu.be/tRCYaCWzRnU

Join the fun!

Do you want to learn more about API calls to Google and Better Doctor?

How about Juno-Jupiter?

At the end of the session, we'll brainstorm new ideas and the winner will be crowned innovator of the week!

Here's a YouTube of the session from the previous week. https://youtu.be/U5sdLYHeJgk

Join the fun!

Agenda Presenter Topic Time Everyone Introductions 1:00 - 1:10 PM Kimberely API calls - Google Maps, Better Doctor 1:10 - 1:25 PM Everyone API calls - Q&A 1:25 - 1:30 PM Kateyln Juno-Jupiter 1:30 - 1:45 PM Everyone Juno-Jupiter Q&A 1:45 - 1:50 PM Everyone Brainstorm & Vote Topics 1:50 - 2:00 PM

Lets get together to discuss all aspects of deep learning and any questions you may have on the Fast.AI or Andrew Ng's coursera course.

All levels of experience are welcome. We rarely have presentations, though we may someone lead a discussion. Bring your questions, projects and ideas, basic or advanced, and we'll try to help.

We highly encourage taking public transportation or carpooling. There is limited parking around Avea Solutions.

Join Andrew Ferlitsch and Ernest Bonat, Ph.D., from the Portland Data Science Group for an introduction into Machine Learning fundamentals. Mostly focused on the concepts, this workshop will be intermixed with some Python programming examples. We will cover Linear and Logistic Regression analysis using scikit-learn Machine Learning framework. All skill levels welcome; just bring your Windows or Mac laptops. Follow the Python Laptop Setup document for Data Science projects development.

Note: This is the second workshop in a three-part series.

Did you miss the Introduction to Machine Learning Pt. 1? No problem, check out http://www.labs.earth/ and click the presentations button and look for:

Introduction to Machine Learning
Introduction to Tensor Flow
Introduction to Dynamic Programming

Agenda
5:00 p.m. - Doors
5:15 p.m. - Workshop beings
6:45 p.m. - Data Regression Demo
7:15 p.m. - Q&A

Python Laptop Setup for Data Science Projects Development

1.) Install Java SE Development Kit 8
2.) Install Eclipse IDE for Java EE Developers
3.) Install PyDev plugin - Python IDE for Eclipse (in Eclipse, select Help menu, click on Eclipse Marketplace, search for PyDev plugin and install it.)
4.) Install Anaconda package

Please see EventBrite page for download urls of the packages listed above. Feel free to contact Ernest by email [email protected] at any time you need.

Purpose: PDXWIT is a community-based non-profit organization. Our purpose is to strengthen the Portland women in tech community by offering educational programs, partnerships, mentorships, resources and opportunities. We are unifying a supportive environment for current and potential women in tech, all of whom are committed to helping each other. Our goal is to bring together and empower women in tech and to encourage others to pursue tech careers. This is our step towards reducing the gender imbalance in the industry and addressing the current negative effects of that imbalance on women.

Trans and non-binary people are always welcome at our events.

Data Scientists,

Do you want to learn more about Data Visualization, BI, and Data Lakes?

How about more on Python Pandas and Data Frames? I'll be giving some examples of housing pricing trends.

At the end of the session, we'll brainstorm a new interesting topic for the following week presentation. The winning idea will get the innovator of the week.

Here's a YouTube of the session from the previous week. https://youtu.be/U5sdLYHeJgk

Join the fun!

Agenda Presenter Topic Time Everyone Introductions 1:00 - 1:10 PM Justin Data Visualization,BI,Data Lakes 1:10 - 1:25 PM Everyone Q&A 1:25 - 1:30 PM Garrett Python 1:30 - 1:45 PM Everyone Q&A 1:45 - 1:50 PM Everyone Brainstorm & Vote Topics 1:50 - 2:00 PM

Data Scientists,

Do you want to learn more about Tableau?

How about Support Vector Machine Machine Learning?

At the end of our session, we'll brainstorm a new interesting topic for the following week presentation. The winning idea will get the innovator of the week.

Join the fun!

Presenter Topic Time Everyone Introductions 1:00 - 1:10 PM Justin Tableau 1:10 - 1:25 PM Everyone Q&A 1:25 - 1:30 PM Ernest Support Vector Machine 1:30 - 1:45 PM Everyone Q&A 1:45 - 1:50 PM Everyone Brainstorm & Vote Topics 1:50 - 2:00 PM

Dear Scientists,

Do you enjoy learning and sharing knowledge to help people solve problems? Check out this video to see what we're about. https://www.youtube.com/watch?v=u6XAPnuFjJc

Do you want to learn machine learning?

We'll have two lightning talks and at the end of our session, we'll brainstorm and vote for a new interesting topic for the following week presentation. The winning idea will get the innovator of the week.

Join the fun!

Presenter Topic Time Everyone Introductions 1:00 - 1:10 PM Ernest Support Vector Machine 1:10 - 1:25 PM Everyone Q&A 1:25 - 1:30 PM Garrett Python Data Analysis 1:30 - 1:45 PM Everyone Q&A 1:45 - 1:50 PM Everyone Brainstorm & Vote Topics 1:50 - 2:00 PM

Do you enjoy learning and sharing knowledge to help people solve problems? Check out this video to see what we're about. https://www.youtube.com/watch?v=u6XAPnuFjJc

Do you want to learn about Data Lakes?

How about experience an architect mock interview.

We'll have two lightning talks and at the end of our session, we'll brainstorm and vote for a new interesting topic for the following week presentation. The winning idea will get the innovator of the week.

Stay tuned for topics. It will be posted a week prior to the session.

Join the fun!

What is Machine Learning? How can you integrate it into your website / script / app? Learn some of the typical use cases (such as Natural Language Processing and Image Recognition), examine code snippets for some of the common frameworks and tools (such as Scikit-Learn, Weka and Tensorflow), and find out about the different ways you can host machine learning models online.

Please RSVP at http://meetu.ps/e/DncMX/18d11/a

Dear Learners,

Do you enjoy learning and sharing knowledge to help people solve problems? Check out this video to see what we're about. https://www.youtube.com/watch?v=u6XAPnuFjJc

Do you want to learn about UAV drones? What is a memory leak?

We'll have two lightning talks and at the end of our session, we'll brainstorm and vote for a new interesting topic for the following week presentation. The winning idea will get the innovator of the week.

Join the fun!

Lets get together to discuss all aspects of deep learning.

In particular, this week I'm interested in learning more about ensemble methods for deep learning. If you get a chance and are so inclined check out The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification

Also, bring any questions you may have on the Fast.AI or Andrew Ng's coursera course.

All levels of experience are welcome. We rarely have presentations, though we may someone leads a discussion. Bring your questions, projects and ideas, basic or advanced, and we'll try to help.

Don't forget the #deep-learning channel in the PDX Startups slack which you can join at https://pdx-startups-slack.herokuapp.com

Do you want to learn about the recent neutron star collision that created light, gravitational waves, and gold? http://www.cnn.com/2017/10/16/world/neutron-star-collision-gravitational-waves-light/index.html

Do you enjoy learning and sharing knowledge to help people solve problems? Check out this video to see what we're about. https://www.youtube.com/watch?v=u6XAPnuFjJc

We'll have two lightning talks and at the end of our session, we'll brainstorm and vote for a new interesting topic for the following week presentation. The winning idea will get the innovator of the week.

Stay tuned for topics. It will be posted a week prior to the session.

Join the fun!

Join MapR for a one-day Big Data conference focused on enterprise data. Customers, partners and technical experts share their expertise on using data to build next generation applications. Whether you are looking to leverage your data to innovate, reduce costs, or both, at Convergence we will solve data challenges together.

Breakfast and lunch will be provided for each attendee.

Do you want to learn about idea generation? We're going to talk about key points in preparing a disclosure for a patent filing.

Do you enjoy learning and sharing knowledge to help people solve problems? Check out this video to see what we're about. https://www.youtube.com/watch?v=u6XAPnuFjJc

We'll have two lightning talks and at the end of our session, we'll brainstorm and vote for a new interesting topic for the following week presentation. The winning idea will get the innovator of the week.

Stay tuned for topics. It will be posted a week prior to the session.

Join the fun!

Join Tom Hanley from Skymind for an interactive tour through DeepLearning4j (DL4J), an open source, distributed, deep learning library for Java. This presentation will focus on machine learning basics and showing how to setup a development environment so you can run some of the canonical neurel network applications like image classification and text analysis with DL4J.

To get the most out of this presentation, read through the brief https://deeplearning4j.org/quickstart tutorial so you can follow along with coding examples.

Lets get together to discuss all aspects of deep learning.

In particular, this week I'm interested in learning more about AutoML (learning to learn). If you get a chance and are so inclined check out Using Machine Learning to Explore Neural Network Architecture and Google Vizier: A Service for Black-Box Optimization.

Our own Sylvain Payot will lead a short talk titled: AlphaGo: How DeepMind put an end to 2,500 years of human mastery

The game of Go has long been viewed as the most challenging of classic games for artificial intelligence combining an enormous search space and a challenging evaluation of board positions and moves.

In this talk, we walk you through the strategy adopted by Google DeepMind to develop the program AlphaGo, building on state of the art reinforcement learning and deep learning techniques to defeat some of the world’s greatest Go champions in 2016.

And finally, bring any questions you may have on the Fast.AI or Andrew Ng's coursera course.

Do you enjoy learning and sharing knowledge to help people solve problems?

Do you want to learn about API's?

We'll have two lightning talks and at the end of our session, we'll brainstorm and vote for a new interesting topic for ideas on upcoming presentation. The winning idea will get the innovator of the week.

Join the fun!

Please RSVP: http://bit.ly/2ADeNvo

WHY WE'RE HERE So many of us are building amazing things at work and in the community - let's share, recognize and applaud our badassery. Our intent is to create speaking opportunities for gender minorities while holding a safe space for this technical learning community. We are thrilled to host women and non binary speakers both local and from across the country. Talks are geared towards a technical audience compromised of respectful, curious, supportive individuals who care deeply about technology. We start promptly at 5:15 and end by 6:30, kiddos welcome. Food and drink provided courtesy of Microsoft's Cloud Developer Advocacy Team.

Lightning Talk

Angela Yen: AWS 101 - The Basics of AWS in 7 Minutes or Less

Angela Yen is a senior software engineer at Cloudability, where she works on an app that helps companies manage and scale their cloud use efficiently. Prior to starting a new life surrounded by code, she worked as the producer of an international performing arts festival and before that as a legal aid attorney. Pronouns: she/her/hers

Keynote

Paige Bailey: Well-Aged Bacon: Guessing Kevin Bacon's Age

Paige is Cloud Developer Advocate at Microsoft. When she's not sitting in front of glowing rectangular screens at work, she absolutely adores hiking / kayaking / mountain-biking around Texas' glorious Green Belt; resuscitating Apples; and (poorly!) attempting to play bass guitar. Personal passions are sustainable energy and climate change research; STEM education reform; and empowering local governments via data science. @DynamicWebPaige Pronouns: she/her/hers

Questions/feedback/interested in speaking? [email protected]

Dear Learners,

Do you enjoy learning and sharing knowledge to help people solve problems? This week we're going to share about patents.

We'll have a thirty-minute talk and at the end of our session, we'll brainstorm and vote for a new interesting topic for ideas on upcoming presentations. The winning idea will get the innovator of the week.

Join the fun!

Lets get together to discuss all aspects of deep learning and any questions you may have on the Fast.AI or Andrew Ng's coursera course.

Also our own Matt Boyd will lead a discussion on:

"What I've found that works and can still be improved"

Matt will do a brief overview of the general approach to setting up a deep learning Kaggle project, touch on 2 or 3 good practices to follow, and throw around some ideas of what to improve.

Mat will cover how to index the data and build train/validation sets, finding the right balance of augmentation, and strategies for keeping results for 50+ different models straight.

All levels of experience are welcome. We rarely have presentations, though we may someone lead a discussion. Bring your questions, projects and ideas, basic or advanced, and we'll try to help.

Do you know how Computer Vision works? How about Machine Learning or Neural Networks? Check out my video lesson.

If you want to learn more, join us on Saturday

https://www.youtube.com/watch?v=zx5fSF2HIBo&feature=youtu.be

We'll have a thirty-minute talk and at the end of our session, we'll brainstorm and vote for a new interesting topic for ideas on upcoming presentations. The winning idea will get the innovator of the week.

Join the fun!

Using JavaScript and Twitter's API we will create an "intelligent" bot. An easy and fun way to learn how JavaScript can be used to build real projects. Our bot will search for tweets mentioning different keywords and reply to them with a pre-defined answer.

This workshop won't be a step-by-step JavaScript introduction. Instead we will build something useful and fun, while learning some basic JavaScript concepts along the way.

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us: 

Entrance on NW Everett between 13th & 14th. Free Street Parking available after 6pm.City Center & Brewery Blocks parking grages & lots available.TriMet Stops on NW 10th, 11th, 14th, Everett, Glisan, and Couch.

What is a Data Scientist?  What is Big Data?  Wondering if you're qualified to start a career in this field?  Join us for our last talk of 2017 to discuss this mysterious and exciting profession.

We’ll cover the emergence of big data and what it means to be a data scientist. We’ll walk you through how to get the skills to become a data scientist, and focus on the different jobs that will be open to you once you’ve mastered the skill set.

How to find us: 

Entrance on NW Everett between 13th & 14th. Free Street Parking available after 6pm.City Center & Brewery Blocks parking grages & lots available.TriMet Stops on NW 10th, 11th, 14th, Everett, Glisan, and Couch.

When you’re learning to code, one of the biggest decisions you can make is what programming language to start with. Depending on who you ask, you’ll get a different answer every time.We’re here to set the record straight.

We’ll take everything important into account: versatility of the top programming languages, the Portland job market, starting salaries, and more. In the end, we’ll end up with an answer that can help shape the rest of your development career.

How to find us: 

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.Free Street Parking available on every block.Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.Check in at Front Desk for Event with Free Geek Admin Team.

• What we'll do
We'll be watching and working through Artificial Intelligence/Deep Learning classes as a group! There are excellent free course lectures and materials online, and from January 6th 2018 to April[masked] we'll go through all the contents.

In order to cater to a diverse audience, there will be 3 structured sessions every Saturday – you can attend all, some or none, it’s totally up to you! If you don’t want to attend some of the sessions, throughout the day there will be open hacking on creating open-source code implementations of the top research paper pre-prints that week. Or use that time to catch-up on lectures and readings (sessions 2 and 3 have many hardcore readings by the way!) while discussing with peers.

Session 1: Fast.ai i Part 1 (v2) Lesson 2
Session 2: Stat385 Lecture 3 Readings – Overview of Deep Learning
Session 3a: UCL/Deep Mind Reinforcement Learning Lecture 2 – Intro to Reinforcement Learning

Note that Sessions 1 & 2 will begin with the 2nd lecture of their corresponding courses.

The Agenda
Session 1
10:00 AM - 12:00 PM (Beginner-Intermediate)
Practical Deep Learning- Fast.ai Part 1 (v2)
http://forums.fast.ai/t/welcome-to-part-1-v2/5787

Break
12:00 PM - 1:00 PM Lunch
Occasional brown bag lunch talk from an expert :)

Session 2
1:00 PM - 3:00 PM (Intermediate-Advanced)
Deep Learning Theory- Stanford STAT385 course on Theories of Deep Learning
https://stats385.github.io/readings
https://stats385.github.io/lecture_slides
https://www.youtube.com/playlist?list=PLhWmdj1YUpdT-UwCLVRNX509hZrKqZ83V

Session 3 (Intermediate-Advanced)
3:00 PM - 6:00 PM
Reinforcement Learning- UCL/DeepMind Reinforcement Learning
https://www.youtube.com/playlist?list=PLacBNHqv7n9gp9cBMrA6oDbzz_8JqhSKo

This is the Portland, OR chapter of AI Saturdays https://nurture.ai/ai-saturdays

Do you want to learn about Machine Learning for IoT devices? Chris is planning to join us fSensiML http://www.sensiml.com/

Do you enjoy learning and sharing knowledge to help people solve problems? Check out this video (https://www.youtube.com/watch?v=u6XAPnuFjJc) to see what we're about.

We'll have a short presentation and at the end of our session, we'll brainstorm and vote for a new interesting topic for the following week presentation. The winning idea will get the innovator of the week.

Join the fun!

We all want to go on a vacation, choosing the right hotel can be work.  In this practical workshop, you’ll use a dataset that contains hotel reviews to build a prediction model to guess where you might want to go on your next vacation. You’ll get an introduction to a data scientist’s tools and methods, including an overview of basic machine learning concepts.

No previous knowledge of data science is required. Some programming background is helpful but not required. This is a designed to be an introductory (and fun) workshop for beginners. If you have a laptop, make sure to bring it. Otherwise, we can pair you up with someone who has one.

How to find us: 

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch. Free street parking available on NE Davis & 3rd.City Center Parking Lot across from Oregon Convention Center on NE Lloyd.TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside.

Join us as we teach you the fundamentals of HTML & CSS while completing a series of challenges to help you master your new skills.

Together we’ll work through a series of drills that will teach you the core concepts of HTML (tags, elements, and attributes) as well as the basics of CSS (selectors, properties, and values).  These drills are designed to be challenging, but manageable with the help of your fellow students, our TAs, and the instructor. We’ll wrap up the night by giving you a few tips on how to continue learning.

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us: 

Entrance on NW Everett between 13th & 14th. Free Street Parking available after 6pm.City Center & Brewery Blocks parking grages & lots available.TriMet Stops on NW 10th, 11th, 14th, Everett, Glisan, and Couch.

• What we'll do
Looking for a fun way to start learning how to code? Join us as we teach you how to build a simple guessing game while learning the programming fundamentals of the JavaScript programming language.

With each new programming concept you learn, you will add new features to the game - including keeping track of how many guesses you’ve had and starting a new game from scratch. See an example before you come: this guessing game was made by an attendee at one of the last events!

Before you come:
1. Experience with HTML/CSS is ideal, as well as some familiarity with JavaScript.
2. Be sure to bring a laptop. If you don’t have one, we can try to pair you with someone who does.

• What to bring
Laptop

• Important to know

Wondering why Glassdoor named Data Scientist the best job in America? Come learn more about the field and the different job opportunities available to Data Scientists.

We’ll cover the emergence of big data and what it means to be a data scientist. We’ll walk you through how to get the skills to become a data scientist, and focus on the different jobs that will be open to you once you’ve mastered the skill set.

How to find us: 

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch. Free street parking available on NE Davis & 3rdCity Center Parking Lot across from Oregon Convention Center on NE LloydTriMet Stops on NE MLK & Burnside and SE Grand & E Burnside.

• What we'll do
Learn the programming fundamentals of JavaScript by building a virtual pet (think: Tamagotchi). With each new programming concept you learn, you will add new features to your game - including customizing your pets, feeding them, and keeping track of their health. See an example before you come: this virtual pet was made by an attendee at one of last events!

Bring a laptop, and if you don't have one we'll match you up with someone who does.

• What to bring

• Important to know

Project-based, hands-on learning is the best way to learn how to code. Join us as we teach you the fundamentals of HTML & CSS while building an interactive website.

In this workshop you’ll learn key HTML & CSS concepts as we review some sample code. Then you’ll start building your own site with the help of our instructor and TAs.  See an example before you come: this webpage was made by an attendee at one of our last events!

At the end of the night you’ll have your own site live on the internet to share with your friends and family.

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us: 

Entrance on NW Everett between 13th & 14th. Free Street Parking available after 6pm.City Center & Brewery Blocks parking grages & lots available.TriMet Stops on NW 10th, 11th, 14th, Everett, Glisan, and Couch.

Lets get together to discuss all aspects of deep learning and any questions you may have on the Fast.AI or Andrew Ng's coursera course.

Fast.Ai's Deep Learning For Coders Part 1 Version 2 has been soft launched and the videos, notebooks and code are available. So now is a great time to watch the first few and work through the exercises and come and discuss them. http://forums.fast.ai/t/unofficial-release-of-part-1-v2/9285

All levels of experience are welcome. We rarely have presentations, though we may someone lead a discussion. Bring your questions, projects and ideas, basic or advanced, and we'll try to help.

Also, if you want more structure and more content check out our own Brice's "AI Saturdays" https://www.meetup.com/AI-Saturdays-PDX/

Don't forget the #deep-learning channel in the PDX Startups slack which you can join at https://pdx-startups-slack.herokuapp.com

Instagram is currently one of the world's most popular mobile apps. Equally famous are the app's many unique photo filters, which let users edit images with a simple swipe.  

In this workshop we'll show you how you can create your very own Instagram-like filters for images using  a JavaScript library. First we'll quickly review some HTML, CSS, and JavaScript concepts and then we'll teach you how to explore and work with a JavaScript library.

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.Free Street Parking available on every block.Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.Check in at Front Desk for Event with Free Geek Admin Team.

Introduction to Deep Learning with Tensorflow and Keras

Deep Learning (DL) is a fast growing and exciting sub-field of machine learning and AI that has recently made extraordinary advancements in many applications such as image recognition, natural language processing, speech transcription, classification and forecasting.

This 2 day introductory course focuses on giving you a firm foundation of deep learning techniques using a combination of presentations and hands-on exercises. The presentations introduce essential background and theory and allow for questions and discussions. And the exercises use Jupyter notebooks with Keras and Tensorflow to show you the essentials of building and training neural nets.

Deep learning can transform any industry. This course will help you find creative ways to apply it to yours.

You'll learn:

• The fundamentals of deep learning including
  • how to build dense / fully connected networks
  • how to use convolutional layers
  • when to use recurrent LSTM/GRU networks
  • how to choose an optimizer and loss function
  • when to use dropout and batch normalization
  • how to prepare training and test data
  • and more
• How to navigate the options and decisions for different model architectures.
• Efficiently use and fine-tune pre-trained models.

So that you can:

• identify important and appropriate questions
• collect and prepare real world data
• design and train effective models

... to get the answers you need for your business and career.

You'll get the most out of this course if:

• You have a familiarity with Python and Numpy.
• You have a deep curiosity and interest in learning about machine learning.
• You want to understand and work with cutting edge deep learning approaches with complex data.

Note: You don't need to be a math wizard - this is a hands on practical class. Though knowing more is always helpful, deep understanding of linear algebra and and calculus are not necessary. We will cover all the math basics necessary to get started in the class.

Topics

Over the 2 days we will cover

1. Deep Learning Introduction and Overview
2. Dense NNs and Keras
3. Essential Theory
4. Convolutional NNs
5. Data Preparation
6. Keras API Deep Dive
7. Transfer Learning
8. Advanced Architectures
9. Introduction to Tensorflow
10. Practical Training Tips
11. Tensorflow Deep Dive
12. Production and Deployment

Preparation

If you'd like to work with software installed on your own laptop we suggest you download and install Conda and use to to install Python3, Numpy, Pandas, Jupyter, Tensorflow and Keras.

A docker image with the necessary software pre-installed will also be made available.

If you can't install Conda or Docker, let us know when you register and we will strive to provide access to a running Jupyter Notebook instance.

Also, feel free to bring a CSV of a data set you are interested in exploring and a description of what you'd like to predict.

Schedule

Saturday Jan 27 and Feb 3rd, 9AM - 1PM

Alchemy Code Lab 30 NW 10th Ave Portland, OR 97209 alchemycodelab.com

More information and future classes

For more information and information on future classes please contact Julio and sign up for announcements at https://e-string.com/training/

Do you enjoy learning and sharing knowledge to help people solve problems? Check out this video (https://www.youtube.com/watch?v=u6XAPnuFjJc) to see what we're about.

We'll have a 30-minute demo and at the end of our session, we'll brainstorm and vote on new interesting topic ideas for upcoming presentations. The winning idea will get the innovator of the week.

Join the fun!

Interested in becoming a data scientist? Come learn more about Thinkful’s Flexible Data Science Bootcamp, which prepares you for your next job without asking you to quit this one. You’ll learn about our mentorship program, career services, curriculum, and track record of job placement.

How to find us:

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch. Free street parking available on NE Davis & 3rd.City Center Parking Lot across from Oregon Convention Center on NE Lloyd.TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside.

Learn the fundamentals of programming as you get introduced to JavaScript, the most popular language on the job market. Join this workshop and start your journey towards becoming a developer.

We'll cover everything you need to know to start learning the language, including different data types, variables, and functions. We’ll finish the workshop with a roadmap you can follow to continue learning JavaScript after the meetup.

Be sure to bring a laptop. If you don’t have one, we can pair you with someone who does.

How to find us: 

Entrance on NW Everett between 13th & 14th. Free Street Parking available after 6pm.City Center & Brewery Blocks parking grages & lots available.TriMet Stops on NW 10th, 11th, 14th, Everett, Glisan, and Couch.

Wondering why Glassdoor named Data Scientist the best job in America? Come learn more about the field and the different job opportunities available to Data Scientists.

We’ll cover the emergence of big data and what it means to be a data scientist. We’ll walk you through how to get the skills to become a data scientist, and focus on the different jobs that will be open to you once you’ve mastered the skill set.

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:

Entrance on NW Everett between 13th & 14th. Free Street Parking available after 6pm.City Center & Brewery Blocks parking grages & lots available.TriMet Stops on NW 10th, 11th, 14th, Everett, Glisan, and Couch.

***MUST RSVP ON EVENTBRITE HERE***

Learn the programming fundamentals of JavaScript by building a virtual pet (think: Tamagotchi).  With each new programming concept you learn, you will add new features to your game - including customizing your pets, feeding them, and keeping track of their health. See an example before you come: this virtual pet was made by an attendee at one of last events!

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:

This event will be held at CENTRL Office East.

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch.

Free street parking available on NE Davis & 3rd.City Center Parking Lot across from Oregon Convention Center on NE Lloyd.

TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside.

***MUST RSVP ON EVENTBRITE HERE***

Learn the programming fundamentals of JavaScript by building a virtual pet (think: Tamagotchi).  With each new programming concept you learn, you will add new features to your game - including customizing your pets, feeding them, and keeping track of their health. See an example before you come: this virtual pet was made by an attendee at one of last events!

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:

This event will be held at CENTRL Office East.

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch.

Free street parking available on NE Davis & 3rd.City Center Parking Lot across from Oregon Convention Center on NE Lloyd.

TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside.

***MUST RSVP ON EVENTBRITE HERE***

We all want to go on a vacation, choosing the right hotel can be work. In this practical workshop, you’ll use a dataset that contains hotel reviews to build a prediction model to guess where you might want to go on your next vacation. You’ll get an introduction to a data scientist’s tools and methods, including an overview of basic machine learning concepts.  No previous knowledge of data science is required. Some programming background is helpful but not required. This is a designed to be an introductory (and fun) workshop for beginners. If you have a laptop, make sure to bring it. Otherwise, we can pair you up with someone who has one.

How to find us:

This event will be held at Free Geek. 

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.

Free Street Parking available on every block.Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.

Check in at Front Desk for Event with Free Geek Admin Team.

This week Zach will walk us through The YOLO https://pjreddie.com/darknet/yolo/ neural net, how it works and how it can be used in your apps.

Lets get together to discuss all aspects of deep learning and any questions you may have on the Fast.AI or Andrew Ng's coursera course.

Fast.Ai's Deep Learning For Coders Part 1 Version 2 has been soft launched and the videos, notebooks and code are available. So now is a great time to watch the videos and work through the exercises and come and discuss them. http://forums.fast.ai/t/unofficial-release-of-part-1-v2/9285

***MUST RSVP ON EVENTBRITE HERE***

Join us as we teach you the fundamentals of HTML & CSS while completing a series of challenges to help you master your new skills.  Together we’ll work through a series of drills that will teach you the core concepts of HTML (tags, elements, and attributes) as well as the basics of CSS (selectors, properties, and values). These drills are designed to be challenging, but manageable with the help of your fellow students, our TAs, and the instructor. We’ll wrap up the night by giving you a few tips on how to continue learning. 

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:

This event will be held at Free Geek. 

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.

Free Street Parking available on every block.Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.

Check in at Front Desk for Event with Free Geek Admin Team.

Learn the programming fundamentals of JavaScript by building a virtual pet (think: Tamagotchi). 

With each new programming concept you learn, you will add new features to your game - including customizing your pets, feeding them, and keeping track of their health. See an example before you come: this virtual pet was made by an attendee at one of last events!

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:

This event will be held at Free Geek. 

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.

Free Street Parking available on every block.Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.

Check in at Front Desk for Event with Free Geek Admin Team.

***MUST RSVP ON EVENTBRITE HERE***

Wondering why Glassdoor named Data Scientist the best job in America? Come learn more about the field and the different job opportunities available to Data Scientists. We’ll cover the emergence of big data and what it means to be a data scientist. We’ll walk you through how to get the skills to become a data scientist, and focus on the different jobs that will be open to you once you’ve mastered the skill set.

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:

This event will be held at Free Geek. 

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.

Free Street Parking available on every block.Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.

Check in at Front Desk for Event with Free Geek Admin Team.

***MUST RSVP ON EVENTBRITE HERE***

JavaScript is the language of the browser. Every website you’ve ever used is built with JavaScript, with interaction powered by the popular jQuery library. Even Stanford’s intro to Computer Science course now uses JavaScript as its teaching language. Learn how to use JavaScript and jQuery and build a simple web app in this workshop.  Together we’ll learn key jQuery concepts like manipulating the DOM and using event listeners to update our app in real time. See an example before you come: this web app was made by an attendee at one of last events!

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:

This event will be held at CENTRL East. 

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch.

Free street parking available on NE Davis & 3rd.City Center Parking Lot across from Oregon Convention Center on NE Lloyd.

TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside.

***MUST RSVP ON EVENTBRITE HERE***

Every year, Glassdoor releases its top 25 highest paying jobs. This year, almost half of them are in the tech field; if you’re thinking about getting into tech, now is the right time. We’ll cover the different ways you can break into tech and outline the pros and cons of all the options within the local tech community. Then we’ll dive into the technical career opportunities that are available locally - from jobs you’ve heard of like front end developer, to jobs that are new to the area, like developer evangelist.

How to find us:

This event will be held at Free Geek. 

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.

Free Street Parking available on every block.Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.

Check in at Front Desk for Event with Free Geek Admin Team.

***MUST RSVP ON EVENTBRITE HERE***

Coding boot camps are short intensive accelerated programs to help you learn the skills, build a portfolio and transition careers like web development and data science. “With over 300 coding boot camps worldwide, you should do your research before choosing which code school will kickstart your career in tech,” says CourseReport

It can be tough to know which one is right for you. Join us as we answer questions like do I enroll in an immersive or part-time bootcamp? What type of career coaching do I need? How do I make sense of outcome stats and guarantees? How is bootcamp learning better or worse than learning on my own? We will discuss what to consider starting with the question of how boot camps emerged and the personal traits you need to succeed.

How to find us:

This event will be held at CENTRL East. 

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch.

Free street parking available on NE Davis & 3rd.City Center Parking Lot across from Oregon Convention Center on NE Lloyd.

TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside.

***MUST RSVP ON EVENTBRITE HERE***

Using JavaScript and Twitter's API we will create an "intelligent" bot. An easy and fun way to learn how JavaScript can be used to build real projects. Our bot will search for tweets mentioning different keywords and reply to them with a predefined answer.
This workshop won't be a step-by-step JavaScript introduction. Instead we will build something useful and fun, while learning some basic JavaScript concepts along the way.

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:

This event will be held at CENTRL West. 

Entrance on NW Everett between 13th & 14th.

Free Street Parking available after 6pm.City Center & Brewery Blocks parking grages & lots available.

TriMet Stops on NW 10th, 11th, 14th, Everett, Glisan, and Couch.

• What we'll do
The outcome of the 2017 Academy Award for Best Picture surprised us all. But, could that have been predicted?

In this practical workshop, you'll use a dataset that contains previous Oscar winners to build a prediction model to guess the winner for Best Picture Award. You'll get an introduction to a data scientist's tools and methods, including an overview of basic machine learning concepts. Unlike last year's Oscars, our model will predict only one winner!

No previous knowledge of data science is required. Some programming background is helpful but not required. This is a designed to be an introductory (and fun) workshop for beginners.

If you have a laptop, make sure to bring it. Otherwise, we can pair you up with someone who has one.

• What to bring
Laptop

• Important to know
Space is limited! Please RSVP on Eventbrite here:
https://www.eventbrite.com/e/predict-the-oscars-using-data-science-tickets-42892279964

***RSVP on Eventbrite HERE***

Interested in becoming a data scientist? Come learn more about Thinkful’s Flexible Data Science Bootcamp, which prepares you for your next job without asking you to quit this one. You’ll learn about our mentorship program, career services, curriculum, and track record of job placement.

If you're interested in jump-starting your data science career, learn more about our Portland-based Data Science Bootcamp now.

How to find us:
329 NE Couch St., Portland OR 97232

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch.
Free street parking available on NE Davis & 3rd.
City Center Parking Lot across from Oregon Convention Center on NE Lloyd.
TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside.

***RSVP ON EVENTBRITE HERE***

JavaScript is the language of the browser. Every website you've ever used is built with JavaScript, with interaction powered by the popular jQuery library. Even Stanford intro to Computer Science course now uses JavaScript as its teaching language. Learn how to use JavaScript and jQuery and build a simple web app in this workshop.

Together we'll learn key jQuery concepts like manipulating the DOM and using event listeners to update our app in real time. See an example before you come: this web app was made by an attendee at one of last events: https://unique-heart.glitch.me/

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:

1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.

Free Street Parking available on every block.

Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.

Check in at Front Desk for Event with Free Geek Admin Team.

***RSVP ON EVENTBRITE HERE***

Interested in becoming a Web Developer or Software Engineer? Come learn more about Thinkful’s flexible Full Stack program and our full-time Engineering Immersion program. Our flexible program prepares you for a new career without asking you to quit your current job while our full-time program combines the benefits of a live classroom and group work with 1-on-1 mentorship. You'll learn about our mentorship program, career services, curriculum, and track record of job placement.

How to find us:

329 NE Couch St., Portland OR 97232

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch.

Free street parking available on NE Davis & 3rd.

City Center Parking Lot across from Oregon Convention Center on NE Lloyd.

TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside.

***RSVP ON EVENTBRITE HERE***

Learn the programming fundamentals of JavaScript by building a virtual pet (think: Tamagotchi).

With each new programming concept you learn, you will add new features to your game - including customizing your pets, feeding them, and keeping track of their health. See an example before you come: this virtual pet was made by an attendee at one of last events: https://cumbersome-vole.glitch.me/

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:

1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.

Free Street Parking available on every block.

Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.

Check in at Front Desk for Event with Free Geek Admin Team.

Inference, Deep Neural Nets, Hyper-Parameters, Sign Language and Visual Insights

Welcome to TensorFlow Northwest. It was exciting to have so many of you come out during February’s snow-mageddon. This month, we prepared a balanced agenda to have new contents, and to incrementally build on what you’ve learned. On the other hand, we built the labs in a way that will allow those who couldn’t beat the storm to catch up quickly.

Al Kari will begin with an introduction and a technology update, then he moves on to cover a key topic in TensorFlow: Saving your models so you can use them to classify new data. The discussion will cover best practices and techniques to use your trained models for inference and transfer learning.

Al is Manceps’ Co-founder and CEO (www.manceps.com) where he helps enterprise clients with their Digital Transformation and intelligent computing roadmaps.

Next, Andrew Ferlitsch will take you on a code-along adventure via Colaboratory- An Introduction to Constructing Neural Networks and Hyper-parameter Tuning.

You’ve kicked the tires with 5 digits hand signs last month. Now, we progressively build layers of a neural network for the larger dataset of the American Sign Language hand gestures including all the letters of the alphabet. We will cover a fully connected neural network, proceed to a deep neural network, and then add dropout layers to tackle overfitting. Then we wrap up with the fundamentals of hyper-parameter tuning. The lab requires a laptop with a modern browser and will be at a modest pace to provide sufficient opportunity to ask questions and share insights.

As Chief Data Scientist at Manceps, Andrew works on solving a diverse set of problems using Deep Learning and advanced analytics.

Finally, David Molina will demystify Neural Networks once and for all, visually! What does bias do in a Neural Network? Why are weights important? What happens when we select a high learning rate? How do we know how many inputs to select? How many hidden layers a model needs in order to predict accurately? How does a Neural Network work? These are questions we ask when we begin studying Machine Learning as we encounter our first Neural Network. David will explore visually what’s behind the code, and what happens inside a Neural Network when it runs.

David is an Industrial Engineer with five years corporate experience in building databases, managing and analyzing large data sets, and optimizing systems and processes. He is currently studying Machine Learning and consulting for companies in his native country of Colombia.

REMEMBER to bring your laptop

Pizza and drinks sponsored by Intel. Links to the labs will be posted shortly.

Hope you have a great time learning and networking.

***RSVP ON EVENTBRITE HERE***

We all want to go on a vacation, choosing the right hotel can be work. In this practical workshop, you’ll use a dataset that contains hotel reviews to build a prediction model to guess where you might want to go on your next vacation. You’ll get an introduction to a data scientist’s tools and methods, including an overview of basic machine learning concepts.

No previous knowledge of data science is required. Some programming background is helpful but not required. This is a designed to be an introductory (and fun) workshop for beginners. If you have a laptop, make sure to bring it. Otherwise, we can pair you up with someone who has one.

How to find us:
334 NW 11th Ave, Portland, OR 97209
Located in the heart of the Pearl District on NW 11th between Everett and Flanders
MAX, Streetcar, and Bus accessible (1-4 blocks in each direction)
Metered Street Parking available
Closest Parking Garage: Lot #[masked] NW Davis St, Portland, OR 97209

***RSVP ON EVENTBRITE HERE***

Join us as we teach you the fundamentals of HTML & CSS while completing a series of challenges to help you master your new skills.

Together we'll work through a series of drills that will teach you the core concepts of HTML (tags, elements, and attributes) as well as the basics of CSS (selectors, properties, and values). These drills are designed to be challenging, but manageable with the help of your fellow students, our TAs, and the instructor. We'll wrap up the night by giving you a few tips on how to continue learning.

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:

329 NE Couch St., Portland OR 97232

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch.

Free street parking available on NE Davis & 3rd.

City Center Parking Lot across from Oregon Convention Center on NE Lloyd.

TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside.

Wondering why Glassdoor named Data Scientist the best job in America? Come learn more about the field and the different job opportunities available to Data Scientists.

We’ll cover the emergence of big data and what it means to be a data scientist. We’ll walk you through how to get the skills to become a data scientist, and focus on the different jobs that will be open to you once you’ve mastered the skill set.

How to find us:
1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.
Free Street Parking available on every block.
Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.
Check in at Front Desk for Event with Free Geek Admin Team.

This one day unconference will foster local AI and ML innovation and sustainable application development with the open exchange of information, ideas and learning.

Unlike most conferences there are no pre-planned presentations or schedules. The day is organized around fostering conversations around the topics you find most interesting and important. All participants are invited and encouraged to participate in discussions on AI and ML topics such as:

• the basics and technical aspects of AI and ML
• practical everyday uses of AI/ML
• using AI for good
• ethical considerations
• implications of general/super AI
• algorithm and modeling tips and techniques
• programming languages and libraries

There is a small fee involved so register soon for the best price.

Thanks.

***RSVP ON EVENTBRITE HERE***

Using JavaScript and Twitter's API we will create an intelligent bot. An easy and fun way to learn how JavaScript can be used to build real projects. Our bot will search for tweets mentioning different keywords and reply to them with a predefined answer.

This workshop won't be a step-by-step JavaScript introduction. Instead we will build something useful and fun, while learning some basic JavaScript concepts along the way.

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:

1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.

Free Street Parking available on every block.

Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.

Check in at Front Desk for Event with Free Geek Admin Team.

The PDX Startup Week panel discussion will discuss how AI and data can be used by startups. The panelists will highlight local use cases of how companies have used machine learning to support their business cases and accelerate the implementation of their business ideas.

If you are a founder or work for a startup interested in machine learning or data science, this panel discussion will provide you insights of how ML can be applied.

This is a joint meetup with TensorFlow NW and will be held at Vacasa. Check that meetup page for more information: https://www.meetup.com/TensorFlow-Northwest/events/246625002/

What interests you the most?

If you didn't make it to the TFDevSummit then you're in luck: We will bring the summit to you! A whole day of updates will be summarized for you in this session, where you get to hear what is available right now and where the technology is going next.

We are super excited to hold this joint event with the Portland Deep Learning group. In this interactive session, @alkari and @juliobarros will cover major topics and facilitate an open discussion on the latest features available in the framework.

For a bonus, @bhlmn will introduce Convolutional Neural Networks use cases in meteorology; Weather nerdery is a common phenomenon, and armed with a fresh PhD in the field, Bryan will get you thinking about CNN's potentials in Meteorology, now and in the future.

Come prepared for a dialogue and bring your questions, ideas and suggestions. There will be a quiz!

Don't miss this event.

***MUST RSVP ON EVENTBRITE HERE - https://www.eventbrite.com/e/what-is-a-data-scientist-tickets-45619399853***

Data Science has been called everything from the “Best Job in America” to “The Sexiest Job of the 21st Century.” Attend our intro to the most in-demand field in tech and learn what “becoming a data scientist” can mean for you.

We'll start by walking through the ways data scientists impact companies. Next, we'll dive deep into the day-to-day of a data scientist, broken down by the 4 main types: Researchers, AI or automation gurus, statisticians, and super analysts. By the end you'll know what data scientists are, why the job is so in-demand, and how you can get hired in the field.

How to find us:
329 NE Couch St., Portland OR 97232

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch.
Free street parking available on NE Davis & 3rd.
City Center Parking Lot across from Oregon Convention Center on NE Lloyd.
TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside.

***MUST RSVP ON EVENTBRITE HERE: https://www.eventbrite.com/e/intro-to-javascript-build-a-guessing-game-tickets-45619489120***

Looking for a fun way to start learning how to code? Join us as we teach you how to build a simple guessing game while learning the fundamentals of JavaScript.

With each new programming concept you learn, you will add new features to the game - including keeping track of how many guesses you've had and starting a new game from scratch. See an example before you come: this guessing game was made by an attendee at one of the last events!

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:
329 NE Couch St., Portland OR 97232

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch.
Free street parking available on NE Davis & 3rd.
City Center Parking Lot across from Oregon Convention Center on NE Lloyd.
TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside.

***MUST RSVP ON EVENTBRITE HERE: https://www.eventbrite.com/e/thinkful-free-geek-build-instagram-filters-with-javascript-tickets-45619519210***

Instagram is currently one of the world's most popular mobile apps. Equally famous are the app's many unique photo filters, which let users edit images with a simple swipe.

In this workshop we'll show you how you can create your very own Instagram-like filters for images using a JavaScript library. First we'll quickly review some HTML, CSS, and JavaScript concepts and then we'll teach you how to explore and work with a JavaScript library.

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:
1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.
Free Street Parking available on every block.
Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.
Check in at Front Desk for Event with Free Geek Admin Team.

ML4ALL is a two day conference​ focusing on machine learning, to be held in Portland, Oregon on May 27-29, 2018.

The goal of the ML4ALL Conference​ is to make applied machine learning accessible to the average software developer​ or enthusiast.

We believe that machine learning should be viewed as a core competency for software developers, and will be a pervasive and essential aspect of almost all human-computer interaction in the near future.

The ML4ALL community wishes democratize machine learning​, highlighting smaller and more mundane use cases, bringing the technology out of the ivory towers​ of top tier tech companies and universities, and into the hands of everyday developers.

We'll focus on probabilistic models and their relation to machine learning and deep learning.

Brush up by checking out "Probabilistic Programming & Bayesian Methods for Hackers", Cam Davidson-Pilon http://nbviewer.jupyter.org/github/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/blob/master/Prologue/Prologue.ipynb

***MUST RSVP ON EVENTBRITE HERE: https://www.eventbrite.com/e/thinkful-free-geek-build-a-web-app-with-javascript-jquery-tickets-46327248046***

JavaScript is the language of the browser. Every website you've ever used is built with JavaScript, with interaction powered by the popular jQuery library. Even Stanford intro to Computer Science course now uses JavaScript as its teaching language. Learn how to use JavaScript and jQuery and build a simple web app in this workshop.

Together we'll learn key jQuery concepts like manipulating the DOM and using event listeners to update our app in real time. See an example before you come: this web app was made by an attendee at one of last events: https://unique-heart.glitch.me/

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:
1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.
Free Street Parking available on every block.
Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.
Check in at Front Desk for Event with Free Geek Admin Team.

***MUST RSVP ON EVENTBRITE HERE: https://www.eventbrite.com/e/getting-started-in-data-science-tickets-46327458676***

What is a Data Scientist? What is Big Data? Wondering if you're qualified to start a career in this field?

We'll cover the emergence of big data and what it means to be a data scientist. We'll walk you through how to get the skills to become a data scientist, and focus on the different jobs that will be open to you once you've mastered the skill set.

How to find us:
329 NE Couch St., Portland OR 97232

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch.
Free street parking available on NE Davis & 3rd.
City Center Parking Lot across from Oregon Convention Center on NE Lloyd.
TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside.

***MUST RSVP ON EVENTBRITE HERE: https://www.eventbrite.com/e/thinkful-free-geek-build-a-virtual-pet-with-javascript-tickets-46327573018***

Learn the programming fundamentals of JavaScript by building a virtual pet (think: Tamagotchi).

With each new programming concept you learn, you will add new features to your game - including customizing your pets, feeding them, and keeping track of their health. See an example before you come: this virtual pet was made by an attendee at one of last events: https://cumbersome-vole.glitch.me/

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:
1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.
Free Street Parking available on every block.
Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.
Check in at Front Desk for Event with Free Geek Admin Team.

Machine Learning vs Cryptocoin Miners Description: With the advent of cryptocurrencies as a prevalent economic entity, attackers have begun turning compromised boxes and environments into cash via cryptocoin mining. This has given rise for the opportunity to detect compromised environments by analyzing network traffic logs for evidence of cryptocoin miners. Specifically, I'll be reviewing various ML and statistical analysis techniques leveraged against VPC Flow Logs. This talk will not be a deep dive of the math involved but instead a general discussion of these techniques and why I chose them.

Speaker's Bio: Jonn Callahan is a principal appsec consultant at nVisium. Jonn was previously heavily involved in the OWASP DC and NoVA chapters. He has been working in appsec for half a decade now, initially within the DoD and now commercially with many high-visibility companies. Recently, Jonn has been digging into ML to find ways to bridge it and the security industry in an intelligent and usable fashion.

***MUST RSVP ON EVENTBRITE HERE: https://www.eventbrite.com/e/intro-to-javascript-build-a-guessing-game-tickets-46327730489***

Looking for a fun way to start learning how to code? Join us as we teach you how to build a simple guessing game while learning the fundamentals of JavaScript.

With each new programming concept you learn, you will add new features to the game - including keeping track of how many guesses you've had and starting a new game from scratch. See an example before you come: this guessing game was made by an attendee at one of the last events!

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:
329 NE Couch St., Portland OR 97232

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch.
Free street parking available on NE Davis & 3rd.
City Center Parking Lot across from Oregon Convention Center on NE Lloyd.
TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside.

***MUST RSVP ON EVENTBRITE HERE: https://www.eventbrite.com/e/thinkful-free-geek-data-science-for-your-vacation-tickets-46327911029***

We all want to go on a vacation, choosing the right hotel can be work. In this practical workshop, you’ll use a dataset that contains hotel reviews to build a prediction model to guess where you might want to go on your next vacation. You’ll get an introduction to a Data Scientist’s tools and methods, including an overview of basic machine learning concepts.

No previous knowledge of data science is required. Some programming background is helpful but not required. This is a designed to be an introductory (and fun) workshop for beginners. If you have a laptop, make sure to bring it. Otherwise, we can pair you up with someone who has one.

How to find us:
1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.
Free Street Parking available on every block.
Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.
Check in at Front Desk for Event with Free Geek Admin Team.

***MUST RSVP ON EVENTBRITE HERE: https://www.eventbrite.com/e/intro-to-javascript-build-your-own-instagram-filters-tickets-46328376421***

Instagram is currently one of the world's most popular mobile apps. Equally famous are the app's many unique photo filters, which let users edit images with a simple swipe.

In this workshop we'll show you how you can create your very own Instagram-like filters for images using a JavaScript library. First we'll quickly review some HTML, CSS, and JavaScript concepts and then we'll teach you how to explore and work with a JavaScript library.

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:
329 NE Couch St., Portland OR 97232

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch.
Free street parking available on NE Davis & 3rd.
City Center Parking Lot across from Oregon Convention Center on NE Lloyd.
TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside.

***MUST RSVP ON EVENTBRITE HERE: https://www.eventbrite.com/e/thinkful-free-geek-build-a-twitter-bot-with-javascript-tickets-46328582036***

Using JavaScript and Twitter's API we will create an intelligent bot. An easy and fun way to learn how JavaScript can be used to build real projects. Our bot will search for tweets mentioning different keywords and reply to them with a predefined answer.

This workshop won't be a step-by-step JavaScript introduction. Instead we will build something useful and fun, while learning some basic JavaScript concepts along the way.

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:
1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.
Free Street Parking available on every block.
Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.
Check in at Front Desk for Event with Free Geek Admin Team.

Can one lift the style from one image and transfer it to another? We will discuss the first paper to use neural networks to do this:

A Neural Algorithm of Artistic Style Leon A. Gatys, Alexander S. Ecker, Matthias Bethge https://arxiv.org/abs/1508.06576

We will go through the algorithm. I will present some example artistic transfers and discuss when it seems to work well and when it doesn't. I'd also like to get ideas from people about other use cases and generalizations.

If people are interested, we can also discuss practical implementation issues that may be glossed over by the paper. One implementation is available in the official pytorch tutorials. While it is a good place to start, there are some errors to look out for:

https://pytorch.org/tutorials/advanced/neural_style_tutorial.html

There also seem to be many TensorFlow tutorials available.

Bio: Currently Bill Dirks is a full time new dad. On the side, he is making art using machine learning. Previously, he worked as a software engineer for such companies as Google, New Relic, and Amazon.

Brad will lead a discussion on managing uncertainty in ML. Topics may include:

• Tests of statistical significance
• Confidence intervals
• Credible intervals
• Central limit theorem
• Monte Carlo simulation
• Density estimation
• Model selection
• Uncertainty in deep learning
• Probabilistic calibration
• and others ...

*** MUST RSVP ON EVENTBRITE HERE: https://www.eventbrite.com/e/thinkful-free-geek-getting-started-in-data-science-tickets-48293308586?aff=Meetup ***

What is a Data Scientist? What is Big Data? Wondering if you're qualified to start a career in this field?

We'll cover the emergence of big data and what it means to be a data scientist. We'll walk you through how to get the skills to become a data scientist, and focus on the different jobs that will be open to you once you've mastered the skill set.

How to find us:
1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.
Free Street Parking available on every block.
Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.
Check in at Front Desk for Event with Free Geek Admin Team.

الموت

*** MUST RSVP ON EVENTBRITE HERE: https://www.eventbrite.com/e/intro-to-python-for-data-science-tickets-48293383811?aff=Meetup ***

Learn the fundamentals of programming as you get introduced to Python, the second popular language on the job market. Join this workshop and start your journey towards becoming a developer or data scientist.

We'll cover everything you need to know to start learning the language, including different data types, variables, and functions. We'll finish the workshop with a roadmap you can follow to continue learning Python after the meetup.

Be sure to bring a laptop. If you don't have one, we can pair you with someone who does.

How to find us:
1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.
Free Street Parking available on every block.
Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.
Check in at Front Desk for Event with Free Geek Admin Team.

*** MUST RSVP ON EVENTBRITE HERE: https://www.eventbrite.com/e/thinkful-free-geek-build-a-web-app-with-javascript-jquery-tickets-48682654129?aff=Meetup ***

JavaScript is the language of the browser. Every website you've ever used is built with JavaScript, with interaction powered by the popular jQuery library. Even Stanford intro to Computer Science course now uses JavaScript as its teaching language. Learn how to use JavaScript and jQuery and build a simple web app in this workshop.

Together we'll learn key jQuery concepts like manipulating the DOM and using event listeners to update our app in real time. See an example before you come: this web app was made by an attendee at one of last events: https://unique-heart.glitch.me/

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:
1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.
Free Street Parking available on every block.
Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.
Check in at Front Desk for Event with Free Geek Admin Team.

*** MUST RSVP ON EVENTBRITE HERE: https://www.eventbrite.com/e/free-crash-course-basic-javascript-tickets-48682781510?aff=Meetup ***

Learn the fundamentals of programming as you get introduced to JavaScript, the most popular language on the job market. Join this workshop and start your journey towards becoming a developer.

We'll cover everything you need to know to start learning the language, including different data types, variables, and functions. We'll finish the workshop with a roadmap you can follow to continue learning JavaScript after the meetup.

Be sure to bring a laptop. If you don't have one, we can pair you with someone who does.

How to find us:
1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.
Free Street Parking available on every block.
Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.
Check in at Front Desk for Event with Free Geek Admin Team.

*** MUST RSVP ON EVENTBRITE HERE: https://www.eventbrite.com/e/thinkful-free-geek-build-your-own-website-htmlcss-tickets-48683493640?aff=Meetup ***

"Project-based, hands-on learning is the best way to learn how to code. Join us as we teach you the fundamentals of HTML & CSS while building an interactive website.

In this workshop you'll learn key HTML & CSS concepts as we review some sample code. Then you'll start building your own site with the help of our instructor and TAs. See an example before you come: this webpage was made by an attendee at one of our last events: https://ludicrous-mailbox.glitch.me/

At the end of the night you'll have your own site live on the internet to share with your friends and family.

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:
1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.
Free Street Parking available on every block.
Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.
Check in at Front Desk for Event with Free Geek Admin Team.".

Interested in Smart cities, emerging technologies, community and entrepreneurship?

Join us at the awesome Portland Mercado on Tuesday, August 28th at 6:30p) and learn how the City of Portland’s Smart City efforts in conjunction with emerging technologies will impact the PDX tech, entrepreneur and Latinx communities.

SPEAKERS: - Hector Dominguez, Open Data Coordinator at the City of Portland - Juan Barraza, Director of Student Innovation - Center for Entrepreneurship at Portland State University - Alan Hipólito, Director of Special Projects at Verde (verdenw.org)

In order to help us provide you a better experience, please RSVPs in advance at https://www.meetup.com/Latinx-Tech-PDX/events/253186221 See you there!!

*** Please RSVP on Eventbrite: https://www.eventbrite.com/e/free-crash-course-basic-javascript-tickets-49004858852?aff=Meetup ***

Learn the fundamentals of programming as you get introduced to JavaScript, the most popular language on the job market. Join this workshop and start your journey towards becoming a developer.

We'll cover everything you need to know to start learning the language, including different data types, variables, and functions. We'll finish the workshop with a roadmap you can follow to continue learning JavaScript after the meetup.

Be sure to bring a laptop. If you don't have one, we can pair you with someone who does.

How to find us:
329 NE Couch St., Portland OR 97232

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch.
Free street parking available on NE Davis & 3rd.
City Center Parking Lot across from Oregon Convention Center on NE Lloyd.
TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside.

*** Please RSVP on Eventbrite: https://www.eventbrite.com/e/free-crash-course-basic-javascript-tickets-49004858852?aff=Meetup ***

Learn the fundamentals of programming as you get introduced to JavaScript, the most popular language on the job market. Join this workshop and start your journey towards becoming a developer.

We'll cover everything you need to know to start learning the language, including different data types, variables, and functions. We'll finish the workshop with a roadmap you can follow to continue learning JavaScript after the meetup.

Be sure to bring a laptop. If you don't have one, we can pair you with someone who does.

How to find us:
329 NE Couch St., Portland OR 97232

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch.
Free street parking available on NE Davis & 3rd.
City Center Parking Lot across from Oregon Convention Center on NE Lloyd.
TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside.

*** Please RSVP on Eventbrite: https://www.eventbrite.com/e/thinkful-free-geek-intro-to-python-for-data-science-tickets-49005630159?aff=meetup ***

"Learn the fundamentals of programming as you get introduced to Python, the second popular language on the job market. Join this workshop and start your journey towards becoming a developer or data scientist.

We'll cover everything you need to know to start learning the language, including different data types, variables, and functions. We'll finish the workshop with a roadmap you can follow to continue learning Python after the meetup.

Be sure to bring a laptop. If you don't have one, we can pair you with someone who does.

How to find us:
1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.
Free Street Parking available on every block.
Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.
Check in at Front Desk for Event with Free Geek Admin Team."

We'll get together to discuss questions you may have about deep learning. So don't be shy. Let us know what you are working on, what you've learned and what you'd like help with.

I also propose we read and discuss "A Survey of the Usages of Deep Learning in Natural Language Processing" https://arxiv.org/abs/1807.10854 Note: There is no single person presenting this paper we'll all read it and discuss what we learned and what we didn't understand.

*** Please RSVP on Eventbrite: https://www.eventbrite.com/e/data-science-your-vacation-tickets-49006667261?aff=meetup ***

"We all want to go on a vacation, choosing the right hotel can be work. In this practical workshop, you’ll use a dataset that contains hotel reviews to build a prediction model to guess where you might want to go on your next vacation. You’ll get an introduction to a Data Scientist’s tools and methods, including an overview of basic machine learning concepts.

No previous knowledge of data science is required. Some programming background is helpful but not required. This is a designed to be an introductory (and fun) workshop for beginners. If you have a laptop, make sure to bring it. Otherwise, we can pair you up with someone who has one.

How to find us:
329 NE Couch St., Portland OR 97232

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch.
Free street parking available on NE Davis & 3rd.
City Center Parking Lot across from Oregon Convention Center on NE Lloyd.
TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside."

*** Please RSVP on Eventbrite: https://www.eventbrite.com/e/thinkful-free-geek-build-your-own-website-with-html-css-tickets-49005742495?aff=meetup ***

In this workshop you'll learn key HTML & CSS concepts as we review some sample code. Then you'll start building your own site with the help of our instructor and TAs. See an example before you come: this webpage was made by an attendee at one of our last events: https://ludicrous-mailbox.glitch.me/

At the end of the night you'll have your own site live on the internet to share with your friends and family.

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:
1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.
Free Street Parking available on every block.
Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.
Check in at Front Desk for Event with Free Geek Admin Team.

*** Please RSVP on Eventbrite: https://www.eventbrite.com/e/intro-to-python-predict-the-box-office-tickets-49266094214?aff=Meetup ***

Can box office sales be predicted? We'll show you how using Python, as well as introducing core Data Science concepts and processes.

No previous knowledge of Data Science is required. Some programming background is helpful but not required. This is a designed to be an introductory (and fun) workshop for beginners.

Be sure to bring your laptop.

329 NE Couch St., Portland OR 97232

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch.
Free street parking available on NE Davis & 3rd.
City Center Parking Lot across from Oregon Convention Center on NE Lloyd.
TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside.SE Grand & E Burnside.

*** Please RSVP on Eventbrite: https://www.eventbrite.com/e/thinkful-free-geek-build-a-guessing-game-with-javascript-tickets-49266318886?aff=Meetup ***

"Looking for a fun way to start learning how to code? Join us as we teach you how to build a simple guessing game while learning the fundamentals of JavaScript.

With each new programming concept you learn, you will add new features to the game - including keeping track of how many guesses you've had and starting a new game from scratch. See an example before you come: this guessing game was made by an attendee at one of the last events!

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:
1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.
Free Street Parking available on every block.
Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.
Check in at Front Desk for Event with Free Geek Admin Team."

*** Please RSVP on Eventbrite: https://www.eventbrite.com/e/free-crash-course-basic-javascript-tickets-49266205547?aff=Meetup ***

"Learn the fundamentals of programming as you get introduced to JavaScript, the most popular language on the job market. Join this workshop and start your journey towards becoming a developer.

We'll cover everything you need to know to start learning the language, including different data types, variables, and functions. We'll finish the workshop with a roadmap you can follow to continue learning JavaScript after the meetup.

Be sure to bring a laptop. If you don't have one, we can pair you with someone who does.

How to find us:
329 NE Couch St., Portland OR 97232

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch.
Free street parking available on NE Davis & 3rd.
City Center Parking Lot across from Oregon Convention Center on NE Lloyd.
TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside."

*** Please RSVP on Eventbrite: https://www.eventbrite.com/e/thinkful-free-geek-data-science-for-your-vacation-tickets-50328811831?aff=Meetup ***

We all want to go on a vacation, choosing the right hotel can be work. In this practical workshop, you’ll use a dataset that contains hotel reviews to build a prediction model to guess where you might want to go on your next vacation. You’ll get an introduction to a Data Scientist’s tools and methods, including an overview of basic machine learning concepts.

No previous knowledge of data science is required. Some programming background is helpful but not required. This is a designed to be an introductory (and fun) workshop for beginners. If you have a laptop, make sure to bring it. Otherwise, we can pair you up with someone who has one.

How to find us:
1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.
Free Street Parking available on every block.
Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.
Check in at Front Desk for Event with Free Geek Admin Team."

We'll have a short presentation on deep NLP and review the paper "StarSpace: Embed All The Things!"

The major vendors in cloud-based services are starting to provide machine learning as a service, such as Google Cloud AutoML Natural Language and Azure Language Understanding (LUIS). Jim Tyhurst will give a brief demonstration of IBM Watson Natural Language Classifier service (https://www.ibm.com/watson/services/natural-language-classifier/), which enables you to build a custom classifier with no programming. Just create a new instance and submit training data. When the system has finished training, you can submit a document through a web API. The system responds with JSON, giving a list of some possible categories with a confidence score associated with each category. We will discuss some of the advantages and disadvantages of this service.

StarSpace: Embed All The Things! - describes a general-purpose neural embedding model that can solve a wide variety of problems: labeling tasks such as text classification, ranking tasks such as information retrieval/web search, collaborative filtering-based or content-based recommendation, embedding of multi-relational graphs, and learning word, sentence or document level embeddings. https://arxiv.org/abs/1709.03856

*** Please RSVP on Eventbrite: https://www.eventbrite.com/e/thinkful-free-geek-free-frontend-crash-course-javascript-fundamentals-tickets-50328861981?aff=meetup ***

"Learn the fundamentals of programming as you get introduced to JavaScript, the most popular language on the job market. Join this workshop and start your journey towards becoming a developer.

We'll cover everything you need to know to start learning the language, including different data types, variables, and functions. We'll finish the workshop with a roadmap you can follow to continue learning JavaScript after the meetup.

Be sure to bring a laptop. If you don't have one, we can pair you with someone who does.

How to find us:
1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.
Free Street Parking available on every block.
Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.
Check in at Front Desk for Event with Free Geek Admin Team."

*** Please RSVP on Eventbrite: https://www.eventbrite.com/e/thinkful-free-geek-build-your-own-website-with-html-css-tickets-50535020607?aff=meetup ***

In this workshop you'll learn key HTML & CSS concepts as we review some sample code. Then you'll start building your own site with the help of our instructor and TAs. See an example before you come: this webpage was made by an attendee at one of our last events: https://ludicrous-mailbox.glitch.me/

At the end of the night you'll have your own site live on the internet to share with your friends and family.

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:
1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.
Free Street Parking available on every block.
Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.
Check in at Front Desk for Event with Free Geek Admin Team.

*** Please RSVP on Eventbrite: https://www.eventbrite.com/e/thinkful-free-geek-intro-to-javascript-build-a-virtual-pet-tickets-50535184096?aff=Meetup ***

Learn the programming fundamentals of JavaScript by building a virtual pet (think: Tamagotchi).

With each new programming concept you learn, you will add new features to your game - including customizing your pets, feeding them, and keeping track of their health. See an example before you come: this virtual pet was made by an attendee at one of last events: https://cumbersome-vole.glitch.me/

Bring a laptop, and if you don't have one we'll match you up with someone who does.

How to find us:
1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.
Free Street Parking available on every block.
Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.
Check in at Front Desk for Event with Free Geek Admin Team.

*** Please RSVP on Eventbrite: https://www.eventbrite.com/e/thinkful-free-geek-intro-to-python-build-a-predictive-model-tickets-50535408768?aff=Meetup ***

Learn the fundamentals of programming with Python by building a Predictive Model from scratch, training the model and running predictions against it.

We'll cover everything you need to know to start learning the language, including different data types, variables, and functions. We'll finish the workshop with a roadmap you can follow to continue learning Python and Data Science after the meetup.

Be sure to bring a laptop. If you don't have one, we can pair you with someone who does.

How to find us:
1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.
Free Street Parking available on every block.
Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.
Check in at Front Desk for Event with Free Geek Admin Team.

Presentation and open discussions. “Introducing TensorFlow Probability” by David Molina, Data Scientist

Abstract: David will be presenting probabilistic modeling using TensorFlow. If we are classifying several thousands of images it's fine if we have some miss-classification detecting a cat or a dog but if we have our model making important decisions, for example, a miss-classification in a self-driving car or giving a medical diagnostic. Probabilistic programming allows us to deal with real-world uncertainty. Let's explore with TensorFlow probability how we can improve predictions adding randomness into our models.

8.15 pm – 9.00 pm: Coding and learning session. Bring your Python development laptop!

*** Please RSVP on Eventbrite: https://www.eventbrite.com/e/thinkful-free-geek-data-science-for-your-vacation-tickets-51114549995?aff=Meetup ***

We all want to go on a vacation, but choosing the right hotel can be work. In this practical workshop, you’ll use a dataset that contains hotel reviews to build a prediction model to guess where you might want to go on your next vacation. You’ll get an introduction to a Data Scientist’s tools and methods, including an overview of basic machine learning concepts.

No previous knowledge of data science is required. Some programming background is helpful but not required. This is a designed to be an introductory (and fun) workshop for beginners. If you have a laptop, make sure to bring it. Otherwise, we can pair you up with someone who has one.

How to find us:
1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th betweek SE Market & Mill.
Free Street Parking available on every block.
Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.
Check in at Front Desk for Event with Free Geek Admin Team."

Details
Same place, still looking for speakers. If you have anything you would like to present, let me know!

If you need parking, there's a parking deck below Safeway.

Agenda:

6:00 p.m.: Food, beverage, and networking

6:40 p.m.: Welcome message by Karl Fezer

6:45 p.m: Speaker 1: "Transfer Learning, or How to Stand on the Shoulders of Giants" - James DiPadua
7:30 p.m: Speaker 2: "Quantum Mechanics for Modeling Composite Semantic Spaces" - Connor Favreau
8:15 p.m.- 8:30: Project Ideas. Pitch your Project Ideas to this meetup group

8:30: End

Speaker 1 Details:

Abstract:

There's been a mountain of research into Deep Neural Networks' practical applications in image, audio and text processing. But these deep networks are often built on large corpuses of data (such as ImageNet or Wikipedia).

But that may not apply directly to your domain. Gathering data specific to your problem space may not only be a lengthy process but an expensive one too. That makes the business win a hard sell.

Transfer Learning can dramatically eliminate many of those problems, quickly.

In 'How to stand on the shoulders of giants,' we'll discuss the research background into Transfer Learning and how to implement the process in either Keras or PyTorch. The goal is for listeners to feel comfortable with the concept and prepared to begin researching an application in their workspaces.

Bio:

James is a wanderer, tinkerer, and ponderer. Not one to be pinned down, he's more comfortable in the abstract than in the known. He embraces ambiguity with a bearhug. That's a trick of course. He bear hugs the ambiguity into little mathematical boxes and then says "Dance!" and, oh, how that ambiguity dances! James currently hangs his hat at Vacasa where he works as a Senior Data Scientist tackling a myriad of growth-objectives with engineering and machine learning.

Speaker 2 Details:

Five years ago, Word2Vec offered a leap forward for the average data scientist to perform efficient algorithms in Natural Language Processing. From a body of text, Word2Vec generates a semantic space, in which the trained word vectors are often highly associated with their meaning. The next leap, a semantic space for phrases and sentences, proves tougher both computationally and in faithfully representing a composite meaning over multiple words. Surprisingly, quantifying particle interactions a la quantum mechanics shares close mathematical similarity to quantifying the meaning of words, phrases, and sentences. In this talk, I will provide an overview of current techniques in modeling language past word vectors, as well as point out the quantum mechanical aspects of these techniques. Emphasis will be placed on the “Compositional Distributional Semantics” model for the task of identifying word ambiguity."

*** Please RSVP on Eventbrite: https://www.eventbrite.com/e/free-frontend-crash-course-html-css-tickets-51114615190?aff=Meetup ***

Join us as we teach you the fundamentals of HTML & CSS while completing a series of challenges to help you master your new skills.

Together we'll work through a series of drills that will teach you the core concepts of HTML (tags, elements, and attributes) as well as the basics of CSS (selectors, properties, and values). These drills are designed to be challenging, but manageable with the help of your fellow students, our TAs, and the instructor. We'll wrap up the night by giving you a few tips on how to continue learning.

Bring a laptop, and if you don't have one we'll match you up with someone who does.

This month we'll focus a bit more on the 'programming' part of Probabilisitic Programming. First we'll have:

Probabilistic programming from scratch

Real world observational data is always imperfect or incomplete in some way. Those limitations mean that what we learn from our data is somewhat uncertain. We want to fill in the blanks to the extent possible and be able to say how confident we are as we do this. This is inference. Probabilistic programming makes it easier to learn from data. Let’s see how to build a basic probabilistic programming system from scratch in Python to introduce Approximate Bayesian Computation (ABC), which is a specific, extremely simple algorithm to perform Bayesian inference.

Bio: David is a Business Analyst and Software Developer with six years of corporate experience in building databases, managing and analyzing large data sets, and optimizing systems and processes. Machine Learning enthusiast focused on Natural Language Processing (NLP) and visual recognition.

Then we'll introduce and discuss "An Introduction to Probabilistic Programming" https://arxiv.org/abs/1809.10756 and explore some of the concepts we've covered using Pyro http://pyro.ai

*** Please RSVP on Eventbrite: https://www.eventbrite.com/e/thinkful-free-geek-free-crash-course-basic-javascript-tickets-51359911879?aff=meetup ***

Learn the fundamentals of programming as you get introduced to JavaScript, the most popular language on the job market. Join this workshop and start your journey towards becoming a developer.

We'll cover everything you need to know to start learning the language, including different data types, variables, and functions. We'll finish the workshop with a road map you can follow to continue learning JavaScript after the meetup.

Be sure to bring a laptop. If you don't have one, we can pair you with someone who does.

How to find us:
1731 SE 10th Ave., Portland, OR 97214

Located SE Portland near Ladd's Addition on 10th between SE Market & Mill.
Free Street Parking available on every block.
Buses 4, 10, 14, and 70 all have stops within 2-3 blocks of location.
Check in at Front Desk for Event with Free Geek Admin Team.

*** Please RSVP on Eventbrite: https://www.eventbrite.com/e/intro-to-python-build-a-predictive-model-tickets-51360173662?aff=Meetup ***

Learn the fundamentals of programming with Python by building a Predictive Model from scratch, training the model and running predictions against it.

We'll cover everything you need to know to start learning the language, including different data types, variables, and functions. We'll finish the workshop with a roadmap you can follow to continue learning Python and Data Science after the meetup.

Be sure to bring a laptop. If you don't have one, we can pair you with someone who does.

How to find us:
329 NE Couch St., Portland OR 97232

Located in the middle of the Burnside Bridgehead project Slate building. Entrance at the intersection of the Streetcar line & NE Couch.
Free street parking available on NE Davis & 3rd.
City Center Parking Lot across from Oregon Convention Center on NE Lloyd.
TriMet Stops on NE MLK & Burnside and SE Grand & E Burnside.

We're back to our discussion format so there will be no presentation this month. Instead be prepared to share your insights and experiences on 1) privacy and ML and 2) The Fast.AI library.

Privacy for ML is a big topic so we'll start by reviewing the PySyft project, paper and tutorials. PySyft is a Python library for secure, private Deep Learning. PySyft decouples private data from model training, using Multi-Party Computation (MPC) within PyTorch. Links to materials are at: https://github.com/OpenMined/PySyft/tree/master/examples/tutorials

Fast.ai is a company dedicated to making the power of deep learning accessible to all. They've done this with their live courses at Unisversity of San Francisco, the corresonding free online MOOC, many free talks and presentations, and a deep learning framework built on top of PyTorch. I've heard many good things about the framework so lets dig into it and discuss it at the meeting. More info at: https://docs.fast.ai

Join us for a session as Michael Wild shares his Kaggle challenge and Garrett Broughton shares his 20 minute Python app challenge. Would you like to participate in a code challenge?

If you would like to join the discussion check us out on Zoom https://zoom.us/j/7891236789.

Do you want to learn and share your passion in a supportive community? Knowledge Mavens is an ethos of sharing, creativity, and inspiration.

Our Meetup provides an opportunity to "Show and Tell" followed by a feedback and Q&A. You'll have the opportunity to share with our channels such as Meetup, GitHub, YouTube, and Facebook to connect with more passionate people.

The second half of our session we'll collaborate on new topics. The winner wins an award for the most interesting topic and the opportunity to share in an upcoming session.

Are you interested in learning and sharing skills in Python, Machine Learning, or Data Science? We'll be providing a demo of our Kaggle competition each Saturday in January.

If you would like to join the discussion check us out on Zoom https://zoom.us/j/7891236789.

Do you want to learn and share your passion in a supportive community? Knowledge Mavens is an ethos of sharing, creativity, and inspiration.

Our Meetup provides an opportunity to "Show and Tell" followed by a feedback and Q&A. You'll have the opportunity to share with our channels such as Meetup, GitHub, YouTube, and Facebook to connect with more passionate people.

The second half of our session we'll collaborate on new topics. The winner wins an award for the most interesting topic and the opportunity to share in an upcoming session.

Are you interested in learning and sharing skills in Python, Machine Learning? I'll share the 100-day machine learning challenge. https://github.com/Avik-Jain/100-Days-Of-ML-Code

I am also working on a ML Tensorflow project for creating Music and Ar. Here's a short video preview https://youtu.be/4IgET8IcStw

If you would like to join the discussion check us out on Zoom https://zoom.us/j/7891236789.

Do you want to learn and share your passion in a supportive community? Knowledge Mavens is an ethos of sharing, creativity, and inspiration.

Our Meetup provides an opportunity to "Show and Tell" followed by a feedback and Q&A. You'll have the opportunity to share with our channels such as Meetup, GitHub, YouTube, and Facebook to connect with more passionate people.

The second half of our session we'll collaborate on new topics. The winner wins an award for the most interesting topic and the opportunity to share in an upcoming session.

Are you interested in seeing a demo of an AI NPU demo board? Michael Wild will be sharing his build and how he's using it for AI and Machine Learning.

If you would like to join the discussion check us out on Zoom https://zoom.us/j/7891236789.

Do you want to learn and share your passion in a supportive community? Knowledge Mavens is an ethos of sharing, creativity, and inspiration.

Our Meetup provides an opportunity to "Show and Tell" followed by a feedback and Q&A. You'll have the opportunity to share with our channels such as Meetup, GitHub, YouTube, and Facebook to connect with more passionate people.

The second half of our session we'll collaborate on new topics. The winner wins an award for the most interesting topic and the opportunity to share in an upcoming session.

Are you interested in learning Python and Machine Learning? Check us out as I'll share my learnings and most recent projects.

If you would like to join the discussion check us out on Zoom https://zoom.us/j/7891236789.

Do you want to learn and share your passion in a supportive community? Knowledge Mavens is an ethos of sharing, creativity, and inspiration.

Our Meetup provides an opportunity to "Show and Tell" followed by a feedback and Q&A. You'll have the opportunity to share with our channels such as Meetup, GitHub, YouTube, and Facebook to connect with more passionate people.

The second half of our session we'll collaborate on new topics. The winner wins an award for the most interesting topic and the opportunity to share in an upcoming session.

Check back for a rescheduled time.

Sunil Rao will be presenting his past research on SNOTEL data using the time series prediction.

Drought is a serious problem in much of the U.S., with the worst conditions across the southern and western parts of the nation. Much of irrigation and recreation facilities depend on proper forecasting of streamflow. The water supply for irrigation largely comes from rivers and creeks, whose streamflow originates from the springtime melting of winter snow. A water supply forecast is a prediction of streamflow volume that will flow past a point on a stream during a specified season, typically in the spring and summer. One of the primary sources for the data is through NRCS SNOTEL( Snow Telemetry) data (available to public as part of tax dollars at work). In this demo, we showcase one such tool (Timeseries ARIMAX model) to forecast Streamflow volume for Deschutes River Basin, OR and later compare with actual data to see how it performed.

If you would like to join the discussion check us out on Zoom https://zoom.us/j/7891236789.

Do you want to learn and share your passion in a supportive community? Knowledge Mavens is an ethos of sharing, creativity, and inspiration.

Our Meetup provides an opportunity to "Show and Tell" followed by feedback and Q&A. You'll have the opportunity to share with our channels such as Meetup, GitHub, YouTube, and Facebook to connect with more passionate people.

The second half of our session we'll collaborate on new topics. The winner wins an award for the most interesting topic and the opportunity to share in an upcoming session.

Join us for a demo of extracting Twitter comments using the API and Python Textblob for analysis.

If you would like to join the discussion check us out on Zoom https://zoom.us/j/7891236789.

Do you want to learn and share your passion in a supportive community? Knowledge Mavens is an ethos of sharing, creativity, and inspiration.

Our Meetup provides an opportunity to "Show and Tell" followed by feedback and Q&A. You'll have the opportunity to share with our channels such as Meetup, GitHub, YouTube, and Facebook to connect with more passionate people.

The second half of our session we'll collaborate on new topics. The winner wins an award for the most interesting topic and the opportunity to share in an upcoming session.

Join us for a demo of analyzing and plotting Twitter sentiment using Python and Natural Language Processing. I'll demo how to use techniques such as tokenizing, lemmatizing, corpora, wordnet, and building a machine learning classifiers such as Logistic Regression, SVC, and SGDC.

I wonder what the Twitter sentiment will be on our president on demo day?

If you would like to join the discussion check us out on Zoom https://zoom.us/j/7891236789.

Do you want to learn and share your passion in a supportive community? Knowledge Mavens is an ethos of sharing, creativity, and inspiration.

Our Meetup provides an opportunity to "Show and Tell" followed by feedback and Q&A. You'll have the opportunity to share with our channels such as Meetup, GitHub, YouTube, and Facebook to connect with more passionate people.

The second half of our session we'll collaborate on new topics. The winner wins an award for the most interesting topic and the opportunity to share in an upcoming session.

Philip Robinson will be presenting research whilst at NASA on Topic Modeling.

Topic modeling is the task of taking a collection of objects and establishing a strategy for describing these objects by common categories found across the collection. This is usually an unsupervised activity applied to a document collection and doesn't require topics to be human interpret-able. My talk introduces Latent Dirichlet Allocation, as a topic modeling strategy for a collection of topics, and discusses an implemented prototype system I developed for NASA's Jet Propulsion Lab. For this project, I addressed the "Matchmaker's Problem" in the context of identifying the best employee to solve a mission-critical engineering anomaly in late-stage missions. The long-form presentation can be found here https://github.com/probinso/expert-modeling-system/blob/master/decks/itds/pres.pdf

If you would like to join the discussion check us out on Zoom https://zoom.us/j/7891236789.

Do you want to learn and share your passion in a supportive community? Knowledge Mavens is an ethos of sharing, creativity, and inspiration.

Our Meetup provides an opportunity to "Show and Tell" followed by feedback and Q&A. You'll have the opportunity to share with our channels such as Meetup, GitHub, YouTube, and Facebook to connect with more passionate people.

The second half of our session we'll collaborate on new topics. The winner wins an award for the most interesting topic and the opportunity to share in an upcoming session.

Come join us for the kick-off of Dynamic Talks in Portland!

Dynamic Talks is an ongoing meetup series featuring technical talks from some of the leading experts in tech in major cities around the US. Enjoy talks about the most innovative subjects in: AI, ML, voice platforms, the Cloud and search. Every event is free, with complimentary food and drinks.

In Portland, the topic of our first event will be “Voice Platforms, Conversational Commerce and NLU”. The speakers for this event will be Victoria Livschitz, Founder and CTO of Grid Dynamics, and Eugene Steinberg, Technical Fellow at Grid Dynamics. Come enjoy a night of technical talks and networking opportunities at CoLab Coworking Portland in Tigard. We hope to see you there!

Agenda

[6:00PM - 6:30PM]: Guests arrive, pizza and drinks are served

[6:30PM - 7:15PM]: First talk will be presented by Victoria Livschitz on “Conversational commerce: emerging architectures for smart & useful chatbots", followed by a Q&A

[7:15PM - 7:30PM]: Networking break

[7:30PM - 8:15PM]: Second talk will be presented by Eugene Steinberg on "Not your fathers search engine: deep learning applications for e-commerce search", followed by a Q&A

[8:15PM] - 9:00PM]: More networking and the event ends

Talk details:

Victoria Livschitz's talk details:

Title: "Conversational commerce: emerging architectures for smart & useful chatbots"

Abstract: Smart speakers and messaging apps are increasing in popularity due to their convenience, intuitive usage, and new user experiences. Companies are racing to develop voice interfaces and AI technologies in order to utilize smart speakers and messaging platforms as a sales channel.

We are introducing Grid Genie, a completely open source, multi-device, conversational commerce platform. With this technology, we can help you engineer a powerful platform to combine your Alexa skills, Google actions, and Facebook Messenger into a single seamless experience.

Eugene Steinberg's talk details:

Title: "Not your fathers search engine: deep learning applications for e-commerce search"

Abstract: In this talk, we will discuss how recent advancements in artificial intelligence are transforming traditional search technologies. Deep learning-based image analysis and natural language processing open exciting new horizons for search and recommendation applications across the industries. We’ll talk about how deep learning models can help conventional search engines to achieve better relevance. We will share our experience implementing innovative solutions for online retailers, finance and high tech customers.

Sunil Rao will be presenting his past research on SNOTEL data using the time series prediction.

Drought is a serious problem in much of the U.S., with the worst conditions across the southern and western parts of the nation. Much of irrigation and recreation facilities depend on proper forecasting of streamflow. The water supply for irrigation largely comes from rivers and creeks, whose streamflow originates from the springtime melting of winter snow. A water supply forecast is a prediction of streamflow volume that will flow past a point on a stream during a specified season, typically in the spring and summer. One of the primary sources for the data is through NRCS SNOTEL( Snow Telemetry) data (available to the public as part of tax dollars at work). In this demo, we showcase one such tool (Timeseries ARIMAX model) to forecast Streamflow volume for Deschutes River Basin, OR and later compare with actual data to see how it performed.

If you would like to join the discussion check us out on Zoom https://zoom.us/j/7891236789.

Do you want to learn and share your passion in a supportive community? Knowledge Mavens is an ethos of sharing, creativity, and inspiration. Our Meetup provides an opportunity to "Show and Tell" followed by feedback and Q&A. You'll have the opportunity to share with our channels such as Meetup, GitHub, YouTube, and Facebook to connect with more passionate people. The second half of our session we'll collaborate on new topics. The winner wins the most interesting topic and the opportunity to share in an upcoming session.

Directions:

JavaScript isn't currently a popular language for machine learning. But is a popular language and it does the ability to easily run an a variety of platforms such as the browser, node, devices, etc.

This week we'll discuss the state of the machine learning eco-system for JavaScript and in particular take a look at TensorFlow.js https://www.tensorflow.org/js/

I'll lead the discussion but this won't be a big presentation. Rather it is an opportunity for you to share your experiences, questions and ideas with everyone else. So take a look at TensorFlow.js and every other JS ML library you can find and tell us what you find, what machine learning projects you'd like to build, what JS ML libraries you like or want to work on/with.

ML4ALL is a two day conference​ focusing on machine learning, to be held in Portland, Oregon on April 28-30, 2019.

The goal of the ML4ALL Conference​ is to make applied machine learning accessible to the average software developer​ or enthusiast.

We believe that machine learning should be viewed as a core competency for software developers, and will be a pervasive and essential aspect of almost all human-computer interaction in the near future.

The ML4ALL community wishes democratize machine learning​, highlighting smaller and more mundane use cases, bringing the technology out of the ivory towers​ of top tier tech companies and universities, and into the hands of everyday developers.

Articulated pose estimation is one of the fundamental challenges in computer vision. Progress in this area can immediately be applied to important vision tasks such as human tracking action recognition and video analysis. This talk will discuss papers and progress of computer vision and deep learning towards human pose estimation and its applications.

Some papers that we can discuss here: Insafutdinov, E., Pishchulin, L., Andres, B., Andriluka, M., and Schiele, B. Deepercut: A deeper, stronger, and faster multi-person pose estimation model. CoRR abs/1605.03170 (2016). Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields, Zhe Cao and Tomas Simon and Shih-En Wei and Yaser Sheikh CVPR 2017

I will lead the discussion and would encourage everyone else to think about applications and future research/ development ideas in this domain.

Bio:

Srujana Gattupalli is a Deep Learning Software Engineer at Intel Corporation. She received a PhD degree in Computer Science from the University of Texas at Arlington in 2018. Her research interests are focused on Machine Learning, Computer Vision, Human-Computer interaction and their applications for human body motion estimation and pose tracking in assistive technology. Her academic work experience includes a role as a research assistant at the Vision Learning Mining lab and teaching assistant for graduate courses. She has been a Graduate Intern at Intel Corporation in 2017, working towards research and development for autonomous driving and machine learning algorithms. In addition to this, she has worked as a Software Engineer at Cerner Corporation in 2014. Ms. Gattupalli is an active member of Upsilon Pi Epsilon (UPE) honor society in computing. She has published 7 peer reviewed papers, received 2 international awards and has served as a reviewer in many others. In her spare time, she enjoys painting, philately, reading books, travel and to seek outdoor adventures.

No agenda, no pitch, no bullshit. As always, come geek out, network, and have a good time.

Beers with Engineers is a diverse group of engineers from a variety of fields coming together to share a drink after work, commiserate with like-minded nerds, and learn more about our respective industries.

If it's your first time joining us, welcome! Ask at the bar for which table we're at.

Also join our slack channel for updates on our meetups and to chat with other engineers in PDX:

https://join.slack.com/t/beerswithengineers/shared_invite/enQtNjA0MTczNTI3ODQ3LWRiYmRhNWQ2OWVmYmZlNTgzMjdkMzhhOTQzZWYyNGI5ODg0NjFjZTBlZDg2NmQzMGRmOGI2NjgyZDI5YjIyNDI

See you there!

Un-Redacting the Mueller Report and Abstracting the News with NLP By Hobson Lane and Al Kari

Hobson will show you how to write a python "mad-libber" that can unredact the Mueller Report. The first person to correctly predict the next word better than the mad-libber will win an autographed copy of Natural Language Processing in Action, a book produced through open collaboration among Portland Python User Group Members, led by Cole Howard and Hannes Hapke. Then Hobson and Al Kari will show you how they use this same state-of-the-art language model to generate meaningful abstractive summaries of technical documents like clinical medical records.

About our speakers: Hobson Lane's first Python apps were built with the help of friends at the Portland Python User Group almost a decade ago. Since then he's been using Python for everything from chatbots to building energy consumption forecasting. He's now CTO at Deep Canopy where they build smart cameras for industry. In his spare time Hobson teaches Python and data science on Springboard.com, Thinkful.com, and Totalgood.com and preaches crackpot ideas for harnessing the pending AI explosion for the greater good.

Al Kari is a Google Developer Expert (GDE) in Machine Learning, organizer of the TensorFlow-Northwest meetup group and CEO of Manceps, an engineering company focused on providing intelligent automation solutions to innovative businesses.

Join us afterward at Bailey's Upper Lip Upstairs Taproom 213 SW Broadway to continue the discussion over a beverage.

Do you have something you'd like to share?

PDX Python on Twitter (http://twitter.com/pdxpython)

Portland Python Web Site (http://pdxpython.io/)

No agenda, no pitch, no bullshit. As always, come geek out, network, and have a good time.

Beers with Engineers is a diverse group of engineers from a variety of fields coming together to share a drink after work, commiserate with like-minded nerds, and learn more about our respective industries.

If it's your first time joining us, welcome! We strive to make our meetup welcoming for both newcomers and returning attendees and inclusive for all current or aspiring engineers, especially those who are often underrepresented in the field.

Also join our slack channel for updates on our meetups and to chat with other engineers in PDX:

https://join.slack.com/t/beerswithengineers/shared_invite/enQtNjA0MTczNTI3ODQ3LWRiYmRhNWQ2OWVmYmZlNTgzMjdkMzhhOTQzZWYyNGI5ODg0NjFjZTBlZDg2NmQzMGRmOGI2NjgyZDI5YjIyNDI

See you there!

The O'Reilly Open Source Software Conference (OSCON) delivers a unique opportunity to dive deep into the technologies behind emerging and innovative open source projects as well as to learn about all the trends shaping software development today—from AI and cloud technology to blockchain and distributed computing.

Connect with the open source community in Portland this summer. Meet industry experts and exchange insights with peers at networking events, lunch discussions and more. Check out the program and save 20% on your pass with code CAL20.

PDX ML is excited to partner with IBM's Center for Open Source Data and AI Technologies to host a night of 5-minute lightening talks under the theme, "Open Source AI for Social Good."

Maybe you are tired from wandering around OSCON all day, or maybe you're just a local looking for something to do. Join us to learn about what people are doing with AI to help humanity.

Schedule:

6:30pm: Networking (Looking for food/beverage sponsor...)

7:10pm: Opening remarks from Karl, Maureen, and Auggy

7:15pm: Lightening talks - How many is up to YOU! We can easily schedule up to 10, based on community lightening talk pitches. Submit ideas now!

8:45pm: Project Ideas. Pitch your Project Ideas to this meetup group

9pm: End

Got a lightening talk idea you want to present? Sign up now! https://forms.gle/ndt5MvHmiu7qz9P49

Please review the PDX ML Code of Conduct - https://www.meetup.com/Portland-Machine-Learning-Meetup/pages/26227692/Code_of_Conduct/

No agenda, no pitch, no bullshit. As always, come geek out, network, and have a good time.

Beers with Engineers is a diverse group of engineers from a variety of fields coming together to share a drink after work, commiserate with like-minded nerds, and learn more about our respective industries.

If it's your first time joining us, welcome! Ask at the bar for which table we're at.

Also join our slack channel for updates on our meetups and to chat with other engineers in PDX:

https://join.slack.com/t/beerswithengineers/shared_invite/enQtNjA0MTczNTI3ODQ3LWRiYmRhNWQ2OWVmYmZlNTgzMjdkMzhhOTQzZWYyNGI5ODg0NjFjZTBlZDg2NmQzMGRmOGI2NjgyZDI5YjIyNDI

See you there!

No agenda, no pitch, no bullshit. As always, come geek out, network, and have a good time.

Beers with Engineers is a diverse group of engineers from a variety of fields coming together to share a drink after work, commiserate with like-minded nerds, and learn more about our respective industries.

If it's your first time joining us, welcome! Ask at the bar for which table we're at.

Also join our slack channel for updates on our meetups and to chat with other engineers in PDX:

https://join.slack.com/t/beerswithengineers/shared_invite/enQtNjA0MTczNTI3ODQ3LWRiYmRhNWQ2OWVmYmZlNTgzMjdkMzhhOTQzZWYyNGI5ODg0NjFjZTBlZDg2NmQzMGRmOGI2NjgyZDI5YjIyNDI

See you there!

Companies and governments increasingly deploy intelligent systems to the real world. These systems—depending on the design and purpose—have the capacity to either greatly enhance the general well-being of the world or bring about some form of a science fiction dystopia.

Sean McGregor, who will speak to us via teleconference, will cover both aspects of these systems in equal measure. First, he'll share examples of leading-edge "AI for Good" research. Then, he'll guide us through some real-world harms caused by deployed AI systems as explored from the AI Incident Database now under development with the Partnership on AI. Sean will then wrap up the talk with a discussion of current opportunities and risks in the development of AI systems for the general welfare.

Join us for a great presentation and discussion! We'll have snacks, and there will be an opportunity for networking afterwards. We hope to see you there!

Speaker bio:

Sean defended his machine learning PhD at Oregon State University with research projects at the intersection of reinforcement learning and public policy. He now focuses on solving real-world problems with machine learning and visual analytics, including problems in wildfire suppression, heliophysics, and analog neural network computation.

Outside of his research, Sean serves as technical lead for the IBM Watson AI XPRIZE, chair of the Partnership on AI expert group for Safety Critical AI, and member of the Fair, Transparent, and Accountable (FTA) expert group. Sean's "day job" is developing neural networks to run on analog architectures at Syntiant. Outside of his paid work, Sean co-founded the Portland TA3M, a series of workshops at major academic AI conferences on the topic of "AI for Good," and a now defunct non-profit dedicated to privacy education, the Privly Foundation.

By attending this TA3M meeting, you agree to follow our Code of Conduct: https://www.meetup.com/Portlands-Techno-Activism-3rd-Mondays/pages/22681732/Code_of_Conduct/

{short} Code of Conduct Portland's Techno-Activism 3rd Mondays is dedicated to providing an informative and positive experience for everyone who participates in or supports our community, regardless of gender, gender identity and expression, sexual orientation, ability, physical appearance, body size, race, ethnicity, age, religion, socioeconomic status, caste, or creed.

Our events are intended to educate and share information related to technology and activism, and anyone who is there for this purpose is welcome. Because we value the safety and security of our members and strive to have an inclusive community, we do not tolerate harassment of members or event participants in any form.

Audio and video recording are not permitted at meetings without prior approval.

Our Code of Conduct (https://www.meetup.com/Portlands-Techno-Activism-3rd-Mondays/pages/22681732/Code_of_Conduct/) applies to all events run by Portland's TA3M. Please report any incidents to the event organizer.

No agenda, no pitch, no bullshit. As always, come geek out, network, and have a good time.

Beers with Engineers is a diverse group of engineers from a variety of fields coming together to share a drink after work, commiserate with like-minded nerds, and learn more about our respective industries.

If it's your first time joining us, welcome! Ask at the bar for which table we're at.

Also join our slack channel for updates on our meetups and to chat with other engineers in PDX:

https://join.slack.com/t/beerswithengineers/shared_invite/enQtNjA0MTczNTI3ODQ3LWRiYmRhNWQ2OWVmYmZlNTgzMjdkMzhhOTQzZWYyNGI5ODg0NjFjZTBlZDg2NmQzMGRmOGI2NjgyZDI5YjIyNDI

See you there!

As you know this is more of group discussion meetup where we get together to discuss what we are learning, interested in, stumped by, curious about, etc...

This month I propose we talk about Swift for TensorFlow https://www.tensorflow.org/swift/ which I've been curious about for a while now.

There wont be a presentation. Instead I encourage you to read over the docs, try out some experiments and come share your findings and experiences. I have lots of questions about when/where it is useful and what kind of future it may have. I'm looking forward to hearing your questions and thoughts.

All levels of experience and backgrounds are welcome so don't be shy. We all learn from each other.

Also, if you have ideas for topics you'd like to see in future meetings please let me know. Thanks.

We're hosting an unconference focused on finding ways to use AI and machine learning to improve the lives of everyone in the community on October 19, 2019 in Portland, Oregon.

Machine Learning (ML) and Artificial Intelligence (AI) are predicted to affect aspects of every business, government agency and organization. In order to understand, better use and control these technologies and changes. We ran a similar event a year and a half ago and everyone got a lot out of it. Many things have changed since then and many issues are the same. Let's figure out where we stand.

This will be a great way to meet others in the community and discuss related topics of interest and concern.

Get your ticket today. There is a small fee that will go towards lunch and supplies. Any extra funds will be donated to a local non-profit.

As you know this is more of group discussion meetup where we get together to discuss what we are learning, interested in, stumped by, curious about, etc...

This month I propose we talk about Bayesian Deep Learning and study the materials from Yarin Gal's presentation at MLSS Moscow 2019 http://bdl101.ml

There wont be a presentation. Instead I encourage you to read over the materials, try out some experiments and come share your findings and experiences. I have lots of questions about when/where it is useful and what kind of future it may have. I'm looking forward to hearing your questions and thoughts.

All levels of experience and backgrounds are welcome so don't be shy. We all learn from each other.

Also, if you have ideas for topics you'd like to see in future meetings please let me know. Thanks.

AWS re:Invent is coming up soon in Las Vegas December 2nd - 6th in 2019. Here's more info about the conference https://reinvent.awsevents.com/

In this Meetup, I'm planning to recap my sessions and share my interviews with other attendees. If videos and slides are available publicly in time, I'll share them as well.

Here's my current schedule 1. Finding a needle in a haystack: Use AI to transform content management 2. AWS Certification Exam Readiness: Machine Learning - Specialty 3. Get started with AWS DeepRacer 4. Build accurate training datasets with Amazon SageMaker Ground Truth 5. Build an engaging Alexa skill with Cake Walk 6. Cluster adverse events with Amazon Comprehend Medical & Amazon SageMaker 7. Deep learning applications with PyTorch, featuring Freshworks 8. Building predictive applications with IoT and machine learning

Everyone is welcome to learn or share their experiences.

Be inspired! Knowledge Mavens

Food, learning, sharing and encouragement with the fabulous PHP Community!

This month Eric Mann presents Monkeys in the Machine

Can a million monkeys given a million typewriters produce the collected works of Shakespeare? Considering the ethical concerns of forcing monkeys to write, paired with the sheer mess of that many mammals in one location, we might never know. Or will we?

Thanks to the wonders of modern computing, it's possible to simulate monkeys emulating the Bard. Leveraging techniques like genetic algorithms, we can build a system that approximates a monkey armed with a typewriter. Digitally.

It's a fun exercise to prove a thought experiment, but also a powerful technical approach to leverage machine learning and rudimentary AI in various places. Together, we'll breed digital monkeys and show both how they can be used to answer the aforementioned Shakespearean question as well as produce generative results to more practical problems.

Join us for an hour Zoom as Darren Sargent shares the basics of Machine Learning. Darren has a rich background of experience as a Software Developer.

We'll have a 30-minute demo followed by 20 minutes of Q&A. We'll wrap the last 10 minutes and ask for any follow-ups or if anyone else would like to share their projects.

Hope you can join us! Knowledge Mavens

If there is anything that is universally true in machine learning, it is that more data is always better. That’s why data scientists always respond to the “How much data do you need?” question with “How much data can you get?”

But sometimes you don’t have much data, because: a) It’s genuinely hard to get; or b) You haven’t been gathering it for very long and it takes time. This is a much more common circumstance than you might think. And you are not alone if you're experiencing this issue. Luckily, and not surprisingly, the machine learning community has come up with numerous approaches for dealing with it. Come sit in on an exclusive conversation with Dr. Tim Oates, professor and practitioner, who will share what appeals to intuition as to why the methods work and provide concrete examples of their application to simple problems.

We will discuss transfer learning, open source datasets and synthetic data, few shot learning, active learning, and semi-supervised learning. By the end of the evening, you should understand what all of these methods are, when they are applicable, and what kinds of results you can expect from using them.

Dr. Tim Oates is Chief Data Scientist at Synaptiq and an Oros Family Professor of Computer Science and Technology in the Department of Computer Science and Electrical Engineering at the University of Maryland Baltimore County. He received a Ph.D. degree from the University of Massachusetts, Amherst in 2001 with a focus on Artificial Intelligence and Machine Learning, and spent a year as a postdoc in the MIT AI Lab. He is an author or co-author of more than 150 peer reviewed papers in AI, ML, and data mining. Dr. Oates served as Chief Scientist for a big data startup in the contact management space, and has consulted in a wide variety of industries, including healthcare, construction, amusement parks, publishing, and social media.

If there is anything that is universally true in machine learning, it is that more data is always better. That’s why data scientists always respond to the “How much data do you need?” question with “How much data can you get?”

But sometimes you don’t have much data, because: a) It’s genuinely hard to get; or b) You haven’t been gathering it for very long and it takes time. This is a much more common circumstance than you might think. And you are not alone if you're experiencing this issue. Luckily, and not surprisingly, the machine learning community has come up with numerous approaches for dealing with it. Come sit in on an exclusive conversation with Dr. Tim Oates, professor and practitioner, who will share what appeals to intuition as to why the methods work and provide concrete examples of their application to simple problems.

We will discuss transfer learning, open source datasets and synthetic data, few shot learning, active learning, and semi-supervised learning. By the end of the evening, you should understand what all of these methods are, when they are applicable, and what kinds of results you can expect from using them.

Dr. Tim Oates is Chief Data Scientist at Synaptiq and an Oros Family Professor of Computer Science and Technology in the Department of Computer Science and Electrical Engineering at the University of Maryland Baltimore County. He received a Ph.D. degree from the University of Massachusetts, Amherst in 2001 with a focus on Artificial Intelligence and Machine Learning, and spent a year as a postdoc in the MIT AI Lab. He is an author or co-author of more than 150 peer reviewed papers in AI, ML, and data mining. Dr. Oates served as Chief Scientist for a big data startup in the contact management space, and has consulted in a wide variety of industries, including healthcare, construction, amusement parks, publishing, and social media.

WorldFestival 2022 | August 3-4, 2022 Technology innovation moves the world forward. WorldFestival is the global virtual conference supporting worldwide technology innovation. Join 20,000+ participants across 130+ nations in discovering and learning about the top 1,000 emerging innovations and trends of 2022.

WorldFestival includes:

Technology Innovation Conference: Hear talks from 300+ speakers covering the newest innovations in 20 industry verticals: from Virtual Reality and Blockchain to Cloud Computing and Artificial Intelligence. Award Competition: Discover and vote on the top 1,000 innovations of 2022, from 6 continents, competing to pitch on-stage as the Top 50 WorldFestival Innovations. Virtual Expo: Visit and learn about 100+ emerging technologies at our virtual expo. Networking & Receptions: Certain pass types will be invited to 1:1 networking breaks and our VIP receptions, where you can meet and chat with top executives, supporters, and contributors.

Join 2,000+ participants at the global virtual conference on the next iteration and future of mobile innovation.

About this event MobileWeek | August 3-4, 2022 | Virtual Conference

The global event where thousands of mobile industry professionals: software creators, telecom business leaders, mobile team leads, mobile growth & strategy professionals, and executives -- come together digitally to collaborate on the next iteration and future of mobile innovation.

Join us online August 3-4 for:

6+ tracks of content: -5G, Devices & Communication -iOS Development -Android Development -Mobile Product Management -Mobile Networks, Hardware & IoT -Mobile Business Strategy -Mobile DevOps & Analytics -Mobile Dev Innovation ...with 80+ live virtual sessions converge to discover this year’s newest mobile & connected technology best practices & innovation.

Award Competition: Discover and vote on the top 1,000+ innovations of 2022, from 6 continents, competing to pitch on-stage as the Top 50 Startups @ the WorldFestival Innovation Awards. Virtual World Expo: Visit and learn about 100+ emerging technologies at our 2-day virtual expo. Networking & Receptions: PRO & PREMIUM pass types will be invited to 1:1 networking breaks and our VIP receptions, where you can meet and chat with top executives, speakers, supporters, and contributors. MobileWeek 2022 is co-located with WorldFestival 2022.

Join us this Friday, April 19th, at 1 pm PST for a technical walkthrough of the DSPY library with Chris Thompson.

DSPy is a library released out of Stanford University that aims to completely change the prompting process by treating it less like whack-a-mole and more like training a machine learning model.

In this Talk, Christopher will discuss: - Prompt Engineering - OpenAI Functions - Explanation and demonstration of the DSPy library - Q&A

Currently, Chris works as a Machine Learning Articecht for Insight, a Fortune 500 solutions integrator helping organizations accelerate their digital journey.

Join us Friday, April 19th at 1 pm Pacific Time (2 pm MT, 3 pm CT, 4 pm ET).

Register on Meetup: https://bit.ly/TechTalk419 Register on Eventbrite: https://bit.ly/TechTalkE419

Networking Opportunity: For those seeking valuable connections, this event is your golden ticket. Engage, learn, and expand your network with like-minded tech enthusiasts.

Take this chance to gain insights, ask questions, and connect with like-minded individuals. See you there!

The position of “AI Developer” is a relatively new one. And did you know that they spend less than half their time actually working with AI and writing code? So, what do they spend the rest of their time doing?

Join The Tech Academy at 5:00 p.m. PST (7 CST / 8 EST) for our live online event entitled “A Day in the Life of an AI Developer“ on May 10 (Friday evening), and gain answers to these questions and more.

Erik Gross has been working in tech for decades and at this free workshop, he will “lift the curtain” on the technology sector and AI, and tell you what it’s really like.

Register for this special event now!

Meetup link: https://bit.ly/ErikWorkshop0510 Eventbrite link: https://bit.ly/ErikWorkshop510

Hope to see you there!

Artificial intelligence is quickly taking over all of our lives. Like any tool, it can be used for construction or destruction – good or evil.

On May 25 (Saturday evening) the Co-Founder of The Tech Academy, Erik Gross, will teach students how to leverage AI in order to write and debug effective code. This live online free class will start at 5:00 p.m. PST (7 CST / 8 EST).

Learn about useful tools that will help you on your journey as a technology professional!

Register your attendance for this powerful and useful workshop now!

Meetup link: https://bit.ly/ErikWorkshop0524 Eventbrite link: https://bit.ly/ErikWorkshopE0524

Join The Tech Academy as we create the popular and classic game “Connect 4” using Python! In this free live class, Erik Gross (our Co-Founder) will cover the basics of coding for absolute beginners.

This online workshop will be hosted through Zoom at 5:00 p.m. PST (7 CST / 8 EST), on May 31 (Friday evening).

This free coding class is for people who have never written code before, and in it Mr. Gross will explain every line of code in plain English. All technical terms and concepts will be defined simply. Python is one of the most-used programming languages in the world and you’ll get your feet wet here!

Register for this fun and educational intro to coding class for beginners now!

Meetup link: https://bit.ly/ErikWorkShop0531 Eventbrite link: https://bit.ly/ErikWorkshopE0531

Artificial intelligence is growing in use and power every day. And unfortunately, it is increasingly being used to scam users through complex schemes and even hacking.

In this free workshop, Erik Gross (Co-Founder of The Tech Academy) will give students tools and resources to protect themselves from AI. He will also show you how to recognize if something was generated by a human or artificial intelligence.

Join The Tech Academy on Zoom at 5:00 p.m. PST (7 CST / 8 EST) for this live online event on June 7 (Friday evening).

Register for this special and useful event now!

Meetup link: https://bit.ly/ErikWorkShop0607 Eventbrite link: https://bit.ly/ErikWorkshopE0607

Learn how to create your very own text-based adventure game, similar to the classic game Zork, at this live class delivered by the Co-Founder of The Tech Academy.

This online workshop will teach the basics of the popular programming language Python, and you can join us on Zoom at 5:00 p.m. PST (7 CST / 8 EST), on June 14 (Friday evening).

This live class is for people who have never written code before, and in it Mr. Gross will explain every line of code in plain English. All technical terms and concepts will be defined simply. Python is one of the most-used programming languages in the world and you’ll get a taste of it here!

Confirm your attendance now for this fun and educational Intro to Python coding class!

Meetup link: https://bit.ly/ErikWorkShop0614 Eventbrite link: https://bit.ly/ErikWorkshopE0614

Join The Tech Academy on Zoom at 5:00 p.m. PST (7 CST / 8 EST) for our live online event entitled “Using ChatGPT to Prepare for Interviews” on June 21 (Friday evening).

The host of this webinar is Erik Gross (our Co-Founder) and he is not only an experienced software developer who has been working in tech for decades, he is an expert in AI and leveraging ChatGPT. At this free workshop, we will cover how to ace interviews with AI. And don’t worry, no cheating is involved! This will be ethical usage of ChatGPT.

Register for this valuable, yet free, event now!

Meetup link: https://bit.ly/ErikWorkShop0621 Eventbrite link: https://bit.ly/ErikWorkshopE0621

Join The Tech Academy at this free, online intro to coding class, hosted live by Erik Gross (our Co-Founder), where he will show you how to create the game “Hangman” using one of the top programming languages in the world: Python.

The class will be held on Zoom on June 28 (Friday evening) starting at 5:00 p.m. PST (7 CST/8 EST).

This workshop is for people who have never written code before, and in it, Mr. Gross will explain every line of code in plain English. All technical terms and concepts will be defined simply.

Register now for The Tech Academy’s fun, simple and educational Intro to Python coding class!

Meetup link: https://bit.ly/ErikWorkShop0628 Eventbrite link: https://bit.ly/ErikWorkshopE0628

Come join The Tech Academy at this very special free introductory online coding class, delivered by Senior-Level Software Developer, and our Co-Founder (Erik Gross). In it, Erik will show you how to build a “Tic-Tac-Toe” video game using the popular programming language: Python.

Attend on Zoom at 5:00 p.m. PST (7 CST / 8 EST), on July 12 (Friday evening).

This live Python class is for people who have never written code before, and in it Mr. Gross will explain every line of code in plain English. All technical terms and concepts will be defined simply. Python is one of the most-used programming languages in the world and you’ll get a taste of it here!

Confirm your attendance now at this fun and very special Intro to coding class!

Meetup link: https://bit.ly/Erikworkshop0712 Eventbrite link: https://bit.ly/ErikworkshopE0712