Date has changed from Tuesday, Jan. 28, 2014 to Wednesday

Devin Gaffney will give a presentation on homophily, and demonstrate inferences that can be gleaned from examining social networks. After the talk we will head over to Pints for drinks and discussion.

Background Information:

https://github.com/DGaffney/dgaff_sxsw_presentation

http://www.uvm.edu/~pdodds/files/papers/others/2001/mcpherson2001a.pdf

The DAMA Portland Chapter is dedicated to delivering thought provoking, data-centric presentations that will make you more successful in your job

This will be a brief introduction to some of the important concepts that arise in data mining in general and classification analysis in particular. The focus in this presentation will be helping attendees to develop their ability to frame business problems as data mining problems.

Through a demonstration driven presentation format, attendees will be exposed to a variety of data mining topics. Throughout the demo, attention will be paid to points of intersection with traditional data modeler work products including the data dictionary and dimensional data model. I will also leave you with a variety of links and references for additional study on your own.

Particular topics that will be addressed:

• Formulating business problems as data mining problems
• Supervised Learning
• Classification methods including Decision Tree and Logistic Regression
• Model Validation
• No math!

Registration Required

Please register at the DAMA PDX site (continental breakfast served)

Free for members and employees of corporate members.

$15 for guests to help cover speaker costs. See the DAMAPDX site for a list of corporate members.

Greetings Fellow Lovers of Data-

Start the year off learning about Data Mining. Join me at DAMA Portland's January chapter meeting to learn how to frame Business Problems as Data Mining problems with Asoka Diggs, a Data Scientist at Intel.

This will be a brief introduction to some of the important concepts that arise in data mining in general and classification analysis in particular. The focus in this presentation will be helping attendees to develop their ability to frame business problems as data mining problems, to understand some of the terminology and mental models prevalent in data mining, and to being able to recognize situations where data mining might apply.

Through a demonstration driven presentation format, attendees will be exposed to a variety of data mining topics. Throughout the demo, attention will be paid to points of intersection with traditional data modeler work products including the data dictionary and dimensional data model. There will also be a variety of links and references for additional study on your own.

Particular topics that will be addressed:

• Formulating business problems as data mining problems
• Supervised Learning
• Classification methods including Decision Tree and Logistic Regression
• Model Validation
• No math!

Speaker:

Asoka Diggs is a Data Scientist with Intel Corp. in Hillsboro, OR. He has 15 years of experience in a variety of data management disciplines, including database administration, ER modeling, ETL development, and data architecture. He recently completed his MS Predictive Analytics from Northwestern University and is now a practicing Data Scientist. It turns out that there IS something even more fun than ER modeling, and he now spends his work time practicing his new analytic modeling skills, and teaching others how to participate and contribute to predictive analytic projects.

Register at: http://www.damapdx.org/

NOTE: DAMA Portland Chapter Meetings have moved to 3rd Thursday for 2016!

• 8:30 - 9:00 am - Sign In
• 9:00 - 10:15 am - Presentation
• 10:15 - 10:30 am - Break, Chapter Announcements
• 10:30 - 11:30 am - Presentation continued

Cost

• Free: DAMA PDX members and employees of Corporate Members
• $15 for guests to cover speaker costs and continental breakfast
• $5 for students with current student ID
• See our corporate members

About DAMA Portland

The Portland Metro Chapter of the Data Administration Management Association has been serving the Portland data community since 1984. We are a not-for-profit, vendor independent, professional association dedicated to advancing the concepts and practices of enterprise information and data resource management.

Our primary purpose is to promote the understanding, development and practice of managing data, information and knowledge resources as key enterprise assets.

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

Dr. Dejing Dou leads the Advanced Integration and Mining (AIM) Lab at the University of Oregon.

In this talk, we focus on the use of formal (Semantic Web) ontologies in two data mining and deep learning tasks, using health datasets as the data domain. We will show how Semantic association mining allowed discovery of indirect (hidden) associations within the datasets (in this case, among diseases and drugs within electronic health records). We will also show how Ontology-based deep learning was used to predict human physical activities within a health social network.

For more information and to register: https://damapdx.wordpress.com/2017/04/20/may-2017-semantic-data-mining-deep-learning-in-health-datasets/

Schedule

8:30 – 9:00 am – Sign In
9:00 – 10:15 am – Presentation
10:15 – 10:30 am – Break, Chapter Announcements
10:30 – 11:30 am – Presentation continued

Cost

Costs cover continental breakfast and speaker travel costs
- Free for Members (and employees of corporate members)
- $15 for Non-Members
- $5 for Students with valid student ID
See our corporate members at the link above

About DAMA Portland

The Portland Metro Chapter of the Data Administration Management Association has been serving the Portland data community since 1984. We are a not-for-profit, vendor independent, professional association dedicated to advancing the concepts and practices of enterprise information and data resource management.

Our primary purpose is to promote the understanding, development and practice of managing data, information and knowledge resources as key enterprise assets.

The DAMA Portland Chapter is dedicated to delivering thought provoking data-centric presentations that will make you more successful in your job. Please join me, the rest of the DAMA board, and other fellow lovers of data at this regular chapter meeting in downtown Portland. For more information and to register go to: http://www.damapdx.org/

Upcoming Presentations
June (15-Jun) Master Data Management
July ( 20-Jul) Data Science: Predictive Analytics
Sept (21-Sep) Cartographic license and building maps that work
Oct (TBD) DAMA Day (Our annual, full day of data training)

Thanks for your support of local Data Education, we look forward to seeing you there!

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 is going to be Great! We'll have our first interactive session. Ernest Bonat will share his idea this week on "Tensorflow or TFLearn?"

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

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!

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

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!

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.

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!

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!

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

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!

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

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

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!

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!

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!