#8 Apr 06, 26

Machine Learning Meets Statistics with Michael I. Jordan

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 Video

Creators and Guests

Host

Tom Mitchell

Tom Mitchell is the University Founders Professor at Carnegie Mellon University, a Digital Fellow at the Stanford Digital Economy Lab, and the author of Machine Learning, a foundational textbook on the subject.

Producer

Matty Smith

Writer/director/editor from Los Angeles, with experience writing and directing scripted television and national commercials. Mixed media producer with hands-on experience in all areas of production.

Guest

Michael I. Jordan

Director of Research, Inria | Professor Emeritus, Departments of EECS and Statistics, University of California, Berkeley