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.

Rss Apple Podcaster
Podden och tillhörande omslagsbild på den här sidan tillhör Tom Mitchell | Stanford Digital Economy Lab | Carnegie Mellon University. Innehållet i podden är skapat av Tom Mitchell | Stanford Digital Economy Lab | Carnegie Mellon University och inte av, eller tillsammans med, Poddtoppen.