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Monday, December 4 • 3:45pm - 4:13pm
Predicting and Preventing Avoidable Truck Rolls (ATR) - Bernard Burg, Bhavana Bhasker, Ryan March - Comcast

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Bernard Burg spearheads Comcast’s applied AI team at Comcast Silicon Valley. Our mission is to improve the user experience by monitoring the behavior of our networks, predict their performance and implement self-healing.  Bernard earned a PhD in machine learning with a focus on behavioral process control, a predecessor of reinforcement learning.

Ryan March is a Data Scientist at the Comcast Applied AI team in CSV, where he focuses on engineering data ingestion and processing pipelines. His primary tasks include cleaning, joining, and preparing data for use in Machine Learning flows.

Bhavana Bhasker is a Data Scientist at the Comcast Applied AI team in CSV. She has research experience in Deep neural networks and Applied Machine Learning. She is also a part time lecturer at San Jose State University. Her area of interests are Computer Vision and Natural Language processing.

Monday December 4, 2017 3:45pm - 4:13pm
Maryam-Curie Stage Computer History Museum

Attendees (13)