# 一、机器学习概念

“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.”

E-T-P概念：

• E(experience): 就是之前的经验，即用于学习的数据
• P(probability): 就是对将来概率的预测

# 二、监督学习与非监督学习

## 1、监督学习

$\text{监督学习:}\begin{cases}\text{回归}(\text{Regression})\\\\\text{分类}(\text{Classification})\end{cases}$