Sveriges mest populära poddar
Machine Learning: How Did We Get Here?
HistoriaTeknologi

Machine Learning Meets Statistics with Michael I. Jordan

1 tim 1 min•6 april 2026

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.

Fler avsnitt av Machine Learning: How Did We Get Here?

Visa alla avsnitt av Machine Learning: How Did We Get Here?
Machine Learning Theory with Leslie Valiant
•21 min
Decision Tree Learning with Ross Quinlan
•24 min
Reinforcement Learning with Rich Sutton
•34 min
The Chaotic Evolution of the Field with Tom Dietterich
•1 tim 5 min
A University and Corporate Perspective with Yann LeCun
•1 tim 21 min
Five Decades of Neural Networks with Geoffrey Hinton
•46 min
The History of Machine Learning with Tom Mitchell
•1 tim 8 min

Machine Learning: How Did We Get Here? med Tom Mitchell | Stanford Digital Economy Lab | Carnegie Mellon University finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.