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Geared toward a technical audience, this 30-minute talk covers the basics of using machine learning with a real-world use case - building and deploying a cloud-based model to help provide relevant answers to help desk questions.
Phil Culliton (@PhilCulliton) is a Senior Data Scientist at Google / Kaggle. He has worked as a machine learning engineer, researcher, and game developer for the last 18 years, and is formerly VP of Engineering and senior researcher at MultiModel Research, a medical text understanding startup.
We'll meet on June 20, 2018 in 113A Davis Hall. Davis Hall is on White Rd, not far from the Bookstore. The Jarvis B lot is just across the road. No parking permit is required after 3PM.
Sponsors for this season are EngineYard (https://www.engineyard.com/) and Stark and Wayne (https://starkandwayne.com/). We will continue our tradition of light refreshments at 7:00 with the presentation at 7:15.
From 7:00 to 7:15 there will be an open floor for anyone to give a short talk on a loosely related topic that may be of interest to the group. This could be a lightning talk, an appeal for help from the group, or just to share something interesting. Without slides is best, but slides will be allowed.