• What we'll do
Come and explore how to tell great data stories to support better business decisions using Google Cloud Data Studio. Google Data Studio turns your data into informative dashboards and reports that are easy to read, easy to share, and fully customizable. Dashboarding allows you to tell great data stories to support better business decisions. Easily access all the data sources you need to understand your business and make better decisions. Transform your raw data into the dimensions, metrics, and calculations you need — no code or queries required. Harness the collective wisdom of your team. Share and collaborate in real time. Work together quickly, from anywhere.

• What to bring

• Important to know

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.

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.

At this meeting we will have: - an intro/review of probability distributions and where to use them - a discussion on a real life case study - a discussion on chapters 1-3 of the book.

Come on out and learn, teach and discuss probabilistic programming.

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!

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.

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.

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.

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.

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/

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.

IMPORTANT: In addition to the meetup, please officially register at the link below, as space will be limited!!!

https://events.withgoogle.com/portland-jingle-all-the-ai-holiday-bash-2019-hosted-by-google-cloud-for-startups-and-vacasa/

Jingle All the A.I. Holiday Party Monday, Dec 16, 2019 5:30 PM - 8:30 PM

Vacasa 850 NW 13th Ave, Portland, OR 97209

Manceps, Google, and Vacasa present our first annual Jingle All The A.I. Holiday Bash. Come join us for a night of food, festivities, learning and fun. We’ll also be opening up our Stock Market Prediction Lab for your chance to Beat the Bots….and win a drone!

In addition to Portland’s community of A.I. and Machine Learning experts, we have a fascinating panel of executive guests from some of the most innovative companies in town! They will be sharing how they’re implementing machine learning at their respective companies, lessons learned and what they’re looking forward to.

Our panelists include:

• Aaron Raddon - CTO at Lytics
• Gordon Ferlitsch - CTO at AllMed Healthcare
• Scott Sutton - VP of Revenue Operations at Zoominfo/DiscoverOrg
• Adam Miller-Howard - VP of Product Strategy at Smarsh
• Eric Mann - Director of Engineering and Data Products at Vacasa

Andrew Ferlitsch from the Google Developer Relations team will also share the latest updates on how AI/ML technologies are evolving and how state-of-the-art solutions are deployed in production in 2020.

Finally, Jona Bechtolt from Portland synth-pop group, Yacht, will be giving a talk on how the band uses AI in their music. He may even give a demo...

Here’s our agenda:

• 5:30 - 6:15 - Happy hour and Stock Market Prediction Hands-On Lab Competition.
• 6:15 - 7:00 - Panel Discussion: AI in the Real World.
• 7:00 - 7:45 - Technical Presentation: ML in production.
• 7:45 - 8:30 - More cocktails and we’ll announce the winner of our Stock Market Prediction Lab.

*Drinks and Snacks will be provided. All are invited. Holiday sweaters encouraged.

Register - HERE! https://events.withgoogle.com/portland-jingle-all-the-ai-holiday-bash-2019-hosted-by-google-cloud-for-startups-and-vacasa/