Machine Learning Meets Statistics with Michael I. Jordan

from Machine Learning: How Did We Get Here? · host Tom Mitchell | Stanford Digital Economy Lab | Carnegie Mellon University

Tom sits down with Michael I. Jordan, Director of Rearch at Inria and Professor Emeritus of the Departments of EECS and Statistics, University of California, Berkeley. Michael has been a major contributor to machine learning, especially at the intersection of statistics and machine learning.Michael discusses his research trajectory, including how it has been inspired by ideas from control theory, statistics, and most recently economics.

Episode metadata supplied by the publisher feed · Published Apr 6, 2026

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Machine Learning Meets Statistics with Michael I. Jordan

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