Sep 23–26, 2019
Sameul Jenkins

Sameul Jenkins
Data Scientist, Microsoft

Sam is a data scientist at Microsoft. He works on interpretability for machine learning.

Sessions

11:20am12:00pm Wednesday, September 25, 2019
Location: 3B - Expo Hall
Secondary topics:  Ethics
Harsha Nori (Microsoft), Sameul Jenkins (Microsoft), Rich Caruana (Microsoft)
Understanding decisions made by machine learning systems is critical for sensitive uses, ensuring fairness, and debugging production models. Interpretability is a maturing field of research that presents many options for trying to understand model decisions. Microsoft is releasing new tools to help you train powerful, interpretable models and interpret decisions of existing blackbox systems. Read more.

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