机器学习（介绍）

机器学习（介绍）

"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."

Example: playing checkers.

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.

机器学习就是从经验E中学习，完成任务T，P是完成效果

监督学习

有标签

1、线性回归

2、分类

无监督学习

无标签

1、盲目分类

模型描述

用训练集通过学习算法，得到一个假设函数，输入x预测y

假设函数：hθ（x）=θ0+θ1x