Sep 23–26, 2019
Harsha Nori

Harsha Nori
Data Scientist, Microsoft

Harsha is a data scientist at Microsoft. He works on interpretability and privacy for Machine Learning.


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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