Machine Learning: How Did We Get Here? — podcast cover art

Machine Learning:
How Did We Get Here?

A podcast hosted by Tom Mitchell

Tom Mitchell literally wrote the book on machine learning. In this series of candid conversations with his fellow pioneers, he traces the history of the field through the people who built it. Behind the tech are stories of passion, curiosity, and humanity.

Video Episodes

  1. Ep. 1 — The History of Machine Learning with Tom Mitchell
  2. Ep. 2 — Five Decades of Neural Networks with Geoffrey Hinton
  3. Ep. 3 — A University and Corporate Perspective with Yann LeCun
  4. Ep. 4 — The Chaotic Evolution of the Field with Tom Dietterich
  5. Ep. 5 - Reinforcement Learning with Rich Sutton
  6. Ep. 6 - Decision Tree Learning with Ross Quinlan
  7. Ep. 7 - Machine Learning Theory with Leslie Valiant
  8. Ep. 8 - Machine Learning meets Statistics with Michael Jordan
  9. Ep. 9 - Self-Driving Cars in the 1980s (!) with Dean Pomerleau
  10. Ep. 10 - Learning Probabilistic Models with Daphne Koller
  11. Ep. 11 - Machine Learning meets Cognitive Neuroscience with Jay McClelland
  12. Ep. 12 - Machine Learning and Speech Recognition with Kai-Fu Lee
  13. Ep. 13 - AI Agents to Model Human Cognition with John Laird
  14. Ep. 14 - From Philosophy to Machine Learning with Bruce Buchanan

Or listen without video on Apple Podcasts or Spotify

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