Presented By O'Reilly and Cloudera
Make Data Work
September 26–27, 2016: Training
September 27–29, 2016: Tutorials & Conference
New York, NY
Michael Lee Williams

Michael Lee Williams
Director of Research, Fast Forward Labs

Website | @mikepqr

Mike Lee Williams is director of research at Fast Forward Labs, an applied machine intelligence lab in New York City, where he builds prototypes that bring the latest ideas in machine learning and AI to life and helps Fast Forward Labs’s clients understand how to make use of these new technologies. Mike holds a PhD in astrophysics from Oxford.

Sessions

5:25pm–6:05pm Wednesday, 09/28/2016
Data science & advanced analytics
Location: 3D 10 Level: Non-technical
Tags: ai
Michael Lee Williams (Fast Forward Labs)
Average rating: ****.
(4.80, 10 ratings)
Our ability to extract meaning from unstructured text data has not kept pace with our ability to produce and store it, but recent breakthroughs in recurrent neural networks are allowing us to make exciting progress in computer understanding of language. Building on these new ideas, Michael Williams explores three ways to summarize text and presents prototype products for each approach. Read more.