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卡耐基梅隆大学的 Tom Michael Mitchell 教授在 Machine Learning
一书中对机器学习进行了明确定义:
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.
中文译文:
如果一个计算机程序可以在任务 T 上,随着经验 E 的增加,效果 P 也随之增加,则称该程序从经验 E 中学习。
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