Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Mike Lee Williams

Mike Lee Williams
Research Engineer, Cloudera Fast Forward Labs

Website | @mikepqr

Mike Lee Williams is a research engineer at Cloudera Fast Forward Labs, where he builds prototypes that bring the latest ideas in machine learning and AI to life and helps Cloudera’s customers understand how to make use of these new technologies. Mike holds a PhD in astrophysics from Oxford.

Sessions

11:50am12:30pm Thursday, March 16, 2017
Data science & advanced analytics
Location: 230 A Level: Beginner
Secondary topics:  AI, Hardcore Data Science
Mike Lee Williams (Cloudera Fast Forward Labs)
Average rating: ***..
(3.80, 5 ratings)
Real-world data is incomplete and imperfect. The right way to handle it is with Bayesian inference. Michael Williams demonstrates how probabilistic programming languages hide the gory details of this elegant but potentially tricky approach, making a powerful statistical method easy and enabling rapid iteration and new kinds of data-driven products. Read more.
2:40pm3:20pm Thursday, March 16, 2017
Location: Table A
Mike Lee Williams (Cloudera Fast Forward Labs)
Come chat with Mike about machine intelligence research in an applied business context and probabilistic programming and text summarization with topic models and recurrent neural networks. Read more.