Viewing 1 current event matching “ml” by Date.

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Wednesday
Jul 17
PDX ML: Open Source AI for Social Good
Wacom

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/

Website

Viewing 9 past events matching “ml” by Date.

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Monday
May 9, 2011
Portland Functional Programming Study Group
Lucky Labrador Brew Pub

ABOUT THE GROUP: Join programmers, researchers and enthusiasts to discuss functional programming. pdxfunc is a study/user group exploring the world of functional programming based in Portland, Oregon. The group welcomes programmers interested in all functional languages, including Haskell, Erlang, OCaml, Scala, and others. The group meets regularly and provides presentations, demos and discussions applicable to all skill levels, from newbies and experts. The meetings are usually on the second Monday of the month.

ABOUT THE VENUE: The group will meet in the Events Room, the large glassed-in room by the main entrance on Hawthorne. There will a "pdxfunc" sign on the door. Feel free to show up early to eat and socialize, we have the room reserved from 6pm on.

Website
Tuesday
Jul 23, 2013
Functional Programming meetup

With OSCON in town this week, bringing to town many from the functional programming community among others, we thought it would be a good idea to hold a casual functional programming meetup. There's no agenda and no talks, but there will be beer and good conversation.

We'll be meeting up on the patio at Green Dragon. If you're just visiting and are worried you won't recognize the geeks when you get there (we're usually easy enough to spot), feel free to ping people on the PDXFunc mailing list (https://groups.google.com/forum/#!forum/pdxfunc) or on IRC at #pdxfunc.

Wednesday
Dec 13, 2017
Portland Deep Learning: Peer mentoring discussion + Matt Boyd w/ overview of setting up a project.
Tura.io

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.

Website
Wednesday
Jan 10, 2018
Portland Deep Learning: Peer mentoring and discussion: Focus on Capsules
Tura.io

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.

We'll also focus on Hinton's capsules and see what we can make of them. Here are some useful links:

• The Arxiv paper

• A great youtube overview

• A Medium Piece

Can't wait to hear your experiences with capsules.

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.

Website
Wednesday
Apr 18, 2018
TensorFlow Dev Summit 2018 - Recap
Vacasa

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.

Website
Sunday
May 27, 2018
ML4ALL
through The Bossanova Ballroom

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.

Website
Tuesday
Dec 11, 2018
OpenHack Machine Learning
through Pure Space

RSVP required.

December 11-13, 2018 Portland, OR

Join us for three days of fun-filled, hands-on hacking where you will team up with colleagues, industry peers, and Microsoft experts to tackle scenarios influenced by common, real-world problems using Microsoft platform capabilities and other industry leading technologies. OpenHack Machine Learning event focuses on problems in the computer vision space and allows developers to leverage Python image processing libraries as well as machine learning frameworks such as Scikit-Learn, CNTK or TensorFlow.

During OpenHack you will have the opportunity to:

• Hack on challenges designed to leave you with the skills and expertise needed to deploy your solution. • Network with fellow industry peers and other professional developers from large enterprises as well as Microsoft engineers. • Get answers to your technology and workplace project questions from Microsoft and industry experts. • Take advantage of the limited number of 1-hour envisioning sessions to work side-by-side with Microsoft experts on your own workplace projects. These sessions are available on a first come, first served basis.

OpenHack is Free!

This is a free event. Food, refreshments, and swag will be provided to attendees.

Bonus

No one likes to deal with traffic and parking. To make your commute to OpenHack a bit easier, attendees will receive $50 in Uber credits. In addition, two Xbox One X consoles will be raffled off at the event.

Prerequisites

To be successful and maximize the value of OpenHack, a basic understanding of computer vision, Python, and data structures would be a big plus. We don't expect you to be an expert, so be prepared to roll up your sleeves and participate in an interactive team environment.

Website
Saturday
Feb 16
Women Who Code Portland: Machine Learning Fundamentals 201
Alchemy Code Lab

Please make sure to sign up via Eventbrite for this event: https://www.eventbrite.com/e/workshop-machine-learning-fundamentals-201-tickets-55279670984

Women Who Code Portland is holding a Machine Learning Fundamentals workshop. The goal of this workshop is to provide people with an introduction to machine learning using Python and open source libraries.

Attendees should be familiar with Jupyter Notebooks, the Pandas library, and also be comfortable with histograms, scatterplots, and boxplots.

Our events are geared towards women, but we welcome everyone who supports our mission of inspiring women to excel in technology careers and follows our code of conduct.

OUR INSTRUCTORS

Ozlem Senlik

Ozlem is a data scientist at Urban Airship where she builds predictive models for digital marketing. She holds a PhD in Electrical and Computer Engineering from Duke University and has a background in photonics and microsystems.

Lisa Orr

Lisa works as a data scientist at Urban Airship where she builds predictive models on top of digital engagement data. She has a PhD in Psychology from the University of St. Andrews where she studied gestural communication of bonobos.

OUR TA’s

Alekhya Vemavarapu

Alekhya is a member of Enterprise Data Analytics at Nike where she does data engineering & analysis on Asia Pacific region. She holds a Masters degree in Data Sciences from IIIT-H, India and has a background in Computer science.

Siggy Hinds

Siggy is a front end software engineer on the Web team at Urban Airship. She is a recent CS post-bac grad from PSU and also holds a BA in Anthropology from USC. In her free time (between work and being a mom) she studies various programming topics.

Dipti Muni

Dipti is a Senior Data Analyst at Fiserv. She has recently received Database Design & SQL Certificate and has done training in Python for Data Science at Thinkful. She is also an active member at Portland Data Science Group.

AGENDA

9:30 - 10:15 Section 1: What is machine learning? 10:15 - 10:30 Break 10:30 - 11:10 Section 2: Machine Learning Techniques I 11:10 - 12:00 Section 3: Machine Learning Techniques II 12:00 - 1:00 Lunch 1:00 - 1:30 Lecture: Getting into data science 1:30 - 2:30 Section 4: Model Selection and Evaluation 2:30 - 2:45 Break 2:45 - 4:00 Lab 4: Build ML model predicting breast cancer 4:00 - 4:30 Discussion: Discussion on how to leverage today's work into your own projects *Agenda is subject to changes

EVENT COST

The event cost is $15 for participants and includes lunch. Fee is collected via Meetup. If you are a student, under-employed, or in need of financial assistance, we have full scholarships available for this event. Please submit an application here: https://goo.gl/forms/ANmXwj5Uyaqv9WLn2

There will be no refunds for this event. If you cannot attend, you can email us to transfer the ticket to another attendee, or we can add it to our scholarship pool.

CODE OF CONDUCT

Women Who Code (WWCode) is dedicated to providing an empowering 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 inspire women to excel in technology careers, 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. WWCode's code of conduct applies to all events run by Women Who Code, Inc. If you would like to report an incident or contact our leadership team, please reach out to one of our volunteers or submit an incident report form.

Sunday
Apr 28
ML4ALL Conference 2019
through The Bossanova Ballroom

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.

Website