coursera_ML_1

机器学习定义:

A  computer program is said to leran from experience E with respect to some task T and some performance measure P, if it's performance on T, as measured by P, improves with experience E.

例:

垃圾邮件分类,T:将邮件按是否为垃圾邮件分类;E:观察标记过的邮件是否为垃圾邮件;P:正确分类的邮件的数量。

监督式学习:回归、分类等。

无监督式学习:聚类(类如根据消费者信息的数据集自动地发现市场分类,并自动地把顾客划分到不同细分市场中)等。

 

原文地址:https://www.cnblogs.com/lxc1910/p/7806999.html