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Machine Learning: How Did We Get Here?

Machine Learning: How Did We Get Here?

Tom Mitchell | Stanford Digital Economy Lab

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.

Where can you listen?

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Episodes

Questions & Answers

How many episodes are there of Machine Learning: How Did We Get Here??

There are 2 episodes avaiable of Machine Learning: How Did We Get Here?.

What is Machine Learning: How Did We Get Here? about?

We have categorized Machine Learning: How Did We Get Here? as:

  • Technology
  • History

Where can you listen to Machine Learning: How Did We Get Here??

Machine Learning: How Did We Get Here? is available, among others places, on:

  • Spotify
  • Apple Podcasts
  • Podtail
  • Google Podcasts

When did Machine Learning: How Did We Get Here? start?

The first episode of Machine Learning: How Did We Get Here? that we have available was released 23 February 2026.

Who creates the podcast Machine Learning: How Did We Get Here??

Machine Learning: How Did We Get Here? is produced and created by Tom Mitchell | Stanford Digital Economy Lab.