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机器学习的定义有很多种，但是最准确的定义是："A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E." 这个定义除了非常押韵之外，还体现了机器学习的几个关键点，即：task , experience 和 performance 。
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