Sep 23–26, 2019
Harsha Nori

Harsha Nori
Data Scientist, Microsoft

Harsha Nori 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), Samuel Jenkins (Microsoft), Rich Caruana (Microsoft)
Understanding decisions made by machine learning systems is critical for sensitive uses, ensuring fairness, and debugging production models. Interpretability presents options for trying to understand model decisions. Harsha Nori, Sameul Jenkins, and Rich Caruana explore the tools Microsoft is releasing to help you train powerful, interpretable models and interpret existing black box systems. Read more.

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