Machine Learning: How Did We Get Here?

Machine Learning: How Did We Get Here?

Tom Mitchell | Stanford Digital Economy Lab

7 - Machine Learning Theory with Leslie Valiant
Tom Mitchell literally wrote the book on machine learning. In this series of candid conversations with his fellow pioneers, Tom traces the history of the field through the people who built it. Behind the tech are stories of passion, curiosity, and humanity. 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. This podcast is produced by the Stanford Digital Economy Lab.
7 - Machine Learning Theory with Leslie Valiant
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Tom Mitchell literally wrote the book on machine learning. In this series of candid conversations with his fellow pioneers, Tom traces the history of the field through the people who built it. Behind the tech are stories of passion, curiosity, and humanity. 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. This podcast is produced by the Stanford Digital Economy Lab.

Episodios

7-

Machine Learning Theory with Leslie Valiant

lun., 30 mar. 2026
6-

Decision Tree Learning with Ross Quinlan

lun., 23 mar. 2026
5-

Reinforcement Learning with Rich Sutton

lun., 16 mar. 2026
4-

The Chaotic Evolution of the Field with Tom Dietterich

lun., 09 mar. 2026
3-

A University and Corporate Perspective with Yann LeCun

lun., 02 mar. 2026