NISS/Merck Meetup: Interpretable/Explainable Machine Learning

Wednesday, September 28, 2022 11:30am-1:00pm ET

The National Institute of Statistical Sciences (NISS) and Merck are sponsoring a Virtual Meet-Up on Interpretable/Explainable Machine Learning.

Professor Cynthia Rudin (Duke University) and Professor Bin Yu (UC Berkely) will be the speakers for this event.

Register on Zoom here!

More Details - coming soon!


Agenda

About the Speakers

Cynthia Rudin is Professor of Computer Science, Electrical and Computer Engineering, Statistical Science, Mathematics, and Biostatistics & Bioinformatics as well as the Prinicipal Investigator of the Interpretable Machine Learning Lab at Duke University.

Bin Yu is the Chancellor's Distinguished Professor and Class of 1936 Second Chair in the Departments of Statistics and Electrical Engineering and Computer Sciences at the University of Califonia at Berkeley.

Event Type

Host

National Institute of Statistical Sciences

Sponsor

Merck & Co. Inc.
National Institute of Statistical Sciences

Cost

Registration is free.

Location

Online Webinar
NISS/Merck Meetup Speakers: Cynthia Rudin (Duke University) and Bin Yu (UC Berkely).