Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK
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

12:05–12:45 Thursday, 24 May 2018
Interpretable machine learning products
Data science and machine learning
 Location: Capital Suite 10/11 Level: Intermediate
Secondary topics:  Financial Services
Mike Lee Williams (Cloudera Fast Forward Labs)
Average rating: *****
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Interpretable models result in more accurate, safer, and more profitable machine learning products, but interpretability can be hard to ensure. Michael Lee Williams examines the growing business case for interpretability, explores concrete applications including churn, finance, and healthcare, and demonstrates the use of LIME, an open source, model-agnostic tool you can apply to your models today. Read more.