Machine Learning: How Did We Get Here?

By Tom Mitchell | Stanford Digital Economy Lab | Carnegie Mellon University

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Description

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.

Episode Date
From Philosophy to Machine Learning with Bruce Buchanan
May 18, 2026
AI Agents to Model Human Cognition with John Laird
May 11, 2026
Machine Learning and Speech Recognition with Kai-Fu Lee
May 04, 2026
Machine Learning meets Cognitive Neuroscience with Jay McClelland
Apr 27, 2026
Learning Probabilistic Models with Daphne Koller
Apr 20, 2026
Self-Driving Cars in the 1980s (!) with Dean Pomerleau
Apr 13, 2026
Machine Learning Meets Statistics with Michael I. Jordan
Apr 06, 2026
Machine Learning Theory with Leslie Valiant
Mar 30, 2026
Decision Tree Learning with Ross Quinlan
Mar 23, 2026
Reinforcement Learning with Rich Sutton
Mar 16, 2026
The Chaotic Evolution of the Field with Tom Dietterich
Mar 09, 2026
A University and Corporate Perspective with Yann LeCun
Mar 02, 2026
Five Decades of Neural Networks with Geoffrey Hinton
Feb 23, 2026
The History of Machine Learning with Tom Mitchell
Feb 23, 2026