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Machine Learning: How Did We Get Here?

Decision Tree Learning with Ross Quinlan

24 min23 mars 2026

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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Machine Learning: How Did We Get Here? med Tom Mitchell | Stanford Digital Economy Lab | Carnegie Mellon University finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.