1959
Arthur Samuel pioneers the concept of machine learning by developing a computer program that improves its performance at checkers over time. Samuel demonstrates that a computer can be programmed to follow predefined rules and "learn" from experience, eventually playing better than the programmer. His work marks a major step toward teaching machines to improve through experience, coining the term "machine learning" in the process.
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