Michael I. Jordan: Q&A Panel

2019 Purdue Engineering Distinguished Lecture Series presenter Dr. Michael I. Jordan

Topic: Statistical vs Empirical Learning: Which will prevail?

A Distinguished Lecture Series panel-based question and answer session with University of California, Berkeley professor Michael I. Jordan and moderated by Stanley Chan, Assistant Professor of Electrical and Computer Engineering and Statistics discusses the next generation of machine learning and the roles of statistical learning and empirical learning.

Panel Participants:
• Charles Bouman, Showalter Professor of Electrical and Computer Engineering and Biomedical Engineering
• David Gleich, Jyoti and Aditya Mathur Associate Professor of Computer Science
• Juan Wachs, James A. and Sharon M. Tompkins Rising Star Associate Professor of Industrial Engineering
• Patrick Wolfe, Frederick L. Hovde Dean of Science and Miller Family Professor of Statistics and Computer Science

Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley. His research interests bridge the computational, statistical, cognitive and biological sciences.

Watch Michael I. Jordan's seminar + bio: http://bit.ly/jordan-seminar
More on this lecture series: http://bit.ly/DistinguishedLectureSeries


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