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Tom speaks with Ross Quinlan, whose algorithms C4.5 and ID3 helped establish decision trees as one of the most popular approaches in machine learning, and who founded RuleQuest Research, which accelerated the commercial adoption of machine learning.
Ross (published as "JR Quinlan") describes a sabbatical visit to Stanford University where he took a course that drove him to invent the first successful learning algorithm for decision trees, follow-on research that led to decision trees becoming one of the most popular machine learning algorithms, and his experience moving from academia into the commercial world.
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免責聲明: 本頁面嵌入的 Podcast 和封面圖片來自 Tom Mitchell | Stanford Digital Economy Lab | Carnegie Mellon University，歸其所有者所有，與 Listen Notes, Inc. 無關聯，也未獲得 Listen Notes, Inc. 背書。
