『Machine Learning: How Did We Get Here?』のカバーアート

Machine Learning: How Did We Get Here?

Machine Learning: How Did We Get Here?

著者： Tom Mitchell | Stanford Digital Economy Lab | Carnegie Mellon University
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今ならプレミアムプランが3カ月 月額99円

2026年5月12日まで。4か月目以降は月額1,500円で自動更新します。

概要

 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.© 2026 Stanford Digital Economy Lab. All rights reserved. 世界
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  • Machine Learning meets Cognitive Neuroscience with Jay McClelland

    Machine Learning meets Cognitive Neuroscience with Jay McClelland
    2026/04/27

    What is the relationship between neural network approaches in machine learning, and real neural networks in the brain? Today's guest Jay McClelland is a cognitive scientist who has spent decades studying this question.

    Jay is Lucie Stern Professor of Psychology and (by Courtesy) of Linguistics and Computer Science and Director of the Center for Mind, Brain, Computation and Technology at Stanford University. He discusses his 50 year journey modeling cognition in the brain with artificial neural networks, and his role in the 1980s emergence of neural networks in machine learning.
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    1 時間 3 分
  • Learning Probabilistic Models with Daphne Koller

    Learning Probabilistic Models with Daphne Koller
    2026/04/20

    Tom interviews Daphne Koller, a Stanford professor turned serial entrepreneur. Daphne is widely known for her research at the intersection of machine learning and probabilistic reasoning.

    Daphne is a member of the U.S. National Academy of Engineering, and is currently CEO of Insitro, a company at the intersection of machine learning and human biology.
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    40 分
  • Self-Driving Cars in the 1980s (!) with Dean Pomerleau

    Self-Driving Cars in the 1980s (!) with Dean Pomerleau
    2026/04/13

    Tom meets with Dr. Dean Pomerleau, who as a CMU PhD student in the 1980s was the first person to demonstrate that a neural network could be trained to automatically steer a self-driving vehicle.

    Dean's results shocked the research community, and paved the way for decades of follow-on research leading to today's self-driving cars.
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    33 分
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