Join us for an evening of machine learning talks from Sara Robinson, and Yufeng Guo, Google Cloud Developer Advocate's with a focus and expertise in Machine Learning.
Our talks for the evening will be on getting starting with automated machine learning via Cloud AutoML, and then what the next steps are for using that as a springboard for how you can build your own custom models. All levels are welcome!
6:00PM - Dinner (not pizza) & Networking
6:30PM - Welcome Remarks & Announcements
6:35PM - Introduction to Cloud AutoML
7:15PM - The Path from Cloud AutoML to Custom Model
What comes after AutoML? You've created some models in Cloud AutoML, and they've been useful. But you want to see if there's some room for more improvement and customization. Let's see how to start building custom models and deploy them in production. You'll learn how to take advantage of state-of-the-art models, all while advancing your understanding of your data pipelines and machine learning.
8:45PM - Clean-up and wrap-up!
Thanks as always to our sponsors. Google Cloud for food, drinks, and expertise, and Google Cambridge for the use of their beautiful venue.
Directions & Parking:
Google’s office is right near the Kendall Sq. stop on the Redline.
If you are driving in, there is paid parking in the building and many paid parking garages in the immediate area. The most affordable paid parking can be found at http://www.greaterbostonparking.com/kendall.html
There is no parking validation. On-street metered parking is generally free after 8PM - most meters take credit cards but not all do. Parking in some of the MIT Lots after 5:00PM and weekends is free. More details about MIT parking can be found here: http://web.mit.edu/mitdlbc/www/parking.htm