Machine Learning: How Did We Get Here?
In a series of conversations with the pioneers of machine learning, host Tom Mitchell of Carnegie Mellon University traces the history of the field through the people who built it.
Tom Mitchell’s Machine Learning is one of the foundational textbooks on the subject of machine learning. His interview guests are some of the biggest names in the field, with Nobel Prize winners, groundbreaking researchers, and industry leaders visiting the podcast to share their personal stories.
Produced by the Stanford Digital Economy Lab, Machine Learning: How Did We Get Here? is about the passion, curiosity, and humanity behind the tech.
Available now on podcast platforms, and in video on the Lab YouTube channel. New episode every Monday.
Tom Mitchell
Digital Fellow
Tom M. Mitchell is the Founders University Professor at Carnegie Mellon University, where he founded the world’s first Machine Learning Department, and served as Interim Dean of the School of Computer Science (2018-2019). He is also a Digital Fellow at the Digital Economy Lab at Stanford. He has worked on machine learning and AI ever since his 1979 Stanford Ph.D., and he remains optimistic about its future. In 2010 Mitchell was elected to the U.S. National Academy of Engineering “For pioneering contributions and leadership in the methods and applications of machine learning.”
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