Episode 7
Machine Learning Theory with Leslie Valiant
Machine Learning: How Did We Get Here? · Tom Mitchell | Stanford Digital Economy Lab | Carnegie Mellon University
March 30, 202620m 53s
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Show Notes
What would a "theory" of machine learning tell us? In this episode Tom meets with the person who invented what is now the widely accepted definition of supervised machine learning: Turing Award recipient and Harvard Professor Leslie Valiant.
Leslie tells us how he got interested in the problem, his contribution, the evolution of machine learning theory over the decades, and his advice to new researchers.
Topics
technologyhistorymachine learningartificial intelligenceacademiaCarnegie Mellon UniversityStanford Universitygraduate studiesinterviews