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斯坦福大学课程 机器学习1 关于机器学习的介绍_field of study that gives computers the ability to

field of study that gives computers the ability to learn without being expli

机器学习定义


什么是机器学习?对于机器学习有两种定义:

第一种是Arthur Samuel在1959年提出的:“Field of study that gives computers the ability to learn without being explicitly programmed.”。 第二种是Tom Mitchell在1998年提出的,也是当前比较流行的定义:“A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E.”。

例如:玩西洋棋
E = the experience of playing many games of checkers
T = the task of playing checkers
P = the probability that the program will win the next game

机器学习分类


一般情况下,机器学习问题可以被归纳为两类:监督学习,非监督学习。

监督学习:给定一组数据集,已知输入值及输出值,就是已知输入值及输出值的关系,使得算法学习该组数据集的过程。
根据输出值,可将监督学习分为回归和分类。

回归问题中,我们尝试预测连续的输出值,就是说输入变量到输出变量的映射为连续函数,则

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