Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: 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

11:00am–11:40am Wednesday, March 7, 2018
Interpretable machine learning products
Data science and machine learning
 Location: LL20 A
Mike Lee Williams (Cloudera Fast Forward Labs)
Average rating: ****.
(4.86, 7 ratings)
Interpretable models result in more accurate, safer, and more profitable machine learning products. But interpretability can be hard to ensure. Michael Lee Williams explores the growing business case for interpretability and its concrete applications, including churn, finance, and healthcare. Along the way, Michael offers an overview of the open source, model-agnostic tool LIME. Read more.