Machine Learning: How Did We Get Here?

Tom sits down with Bruce Buchanan, a PhD Philosopher turned machine learning researcher.  Bruce produced a key milestone for machine learning in the 1970s by creating the first program that discovered new symbolic knowledge publishable in a scientific journal.

Bruce has held professorships at the University of Pittsburgh (Philosophy and Medicine) and Stanford University (Computer Science).

Tom Mitchell is the Founders University Professor at Carnegie Mellon University. Produced by the Stanford Digital Economy Lab.

Creators and Guests

Host
Tom Mitchell
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.
BB
Guest
Bruce Buchanan
University Professor Emeritus, University of Pittsburgh
Producer
Matty Smith
Writer/director/editor from Los Angeles, with experience writing and directing scripted television and national commercials. Mixed media producer with hands-on experience in all areas of production.

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

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.