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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.
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免责声明: 本页面嵌入的播客和封面图片来自 Tom Mitchell | Stanford Digital Economy Lab | Carnegie Mellon University，归其所有者所有，与 Listen Notes, Inc. 无关联，也未获得 Listen Notes, Inc. 背书。
