Sep 23–26, 2019
Sophie Watson
Senior Data Scientist, Red Hat
Sophie Watson is a senior data scientist at Red Hat, where she helps customers use machine learning to solve business problems in the hybrid cloud. She’s a frequent public speaker on topics including machine learning workflows on Kubernetes, recommendation engines, and machine learning for search. Sophie earned her PhD in Bayesian statistics.
Sessions
1:30pm–5:00pm Tuesday, September 24, 2019
Location: 1E 11
Secondary topics:
Streaming and IoT,
Temporal data and time-series analytics
Sophie Watson (Red Hat),
William Benton (Red Hat)
Go hands-on with Sophie Watson and William Benton to examine data structures that let you answer interesting queries about massive datasets in fixed amounts of space and constant time. This seems like magic, but they'll explain the key trick that makes it possible and show you how to use these structures for real-world machine learning and data engineering applications.
Read more.
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