Sep 23–26, 2019
Samuel Jenkins
Data Scientist, Microsoft
Sameul Jenkins is a data scientist at Microsoft. He works on interpretability for machine learning.
Sessions
11:20am–12:00pm 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.
Presented by
Elite Sponsors
Strategic Sponsors
Zettabyte Sponsors
Contributing Sponsors
Exabyte Sponsors
Content Sponsor
Impact Sponsors
Supporting Sponsor
Non Profit
Contact us
confreg@oreilly.com
For conference registration information and customer service
partners@oreilly.com
For more information on community discounts and trade opportunities with O’Reilly conferences
strataconf@oreilly.com
For information on exhibiting or sponsoring a conference
pr@oreilly.com
For media/analyst press inquires