Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Evan Kriminger

Evan Kriminger
Senior Associate of Data Science, ZestFinance

Evan Kriminger is a Senior Associate of Data Science at ZestFinance, where his research interests include explainability and building efficient tools for training deep neural networks. He holds a PhD from the Computational NeuroEngineering Laboratory at the University of Florida, completing a dissertation on active learning and constrained clustering. Prior to ZestFinance, he worked at Leap Motion, conducting machine learning research for hand tracking.


11:00am11:40am Thursday, March 8, 2018
Evan Kriminger (ZestFinance)
Average rating: ****.
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What does it mean to explain a machine learning model, and why is it important? Mike Ruberry offers an overview of several modern explainability methods, including traditional feature contributions, LIME, and DeepLift. Each of these techniques presents a different perspective, and their clever application can reveal new insights and solve business requirements. Read more.