(CS229) 第二课 梯度下降及标准方程推导笔记

Posted 2020-09-20

1 Locally weighted linear regression

Here the w are non-nagative valued weights. 是一个contribute， A fairly standard choice for the weights is:

(不要与高斯混为一谈，这个函数积分不要求为1，可以是正无穷; 这个函数不是唯一地；最大值1，最小值0)

 

tau is bandwidth which controls how quickly the weight of a training example falls off with distance of the middle(x^(i))

Locally weighted linear regression is the first example we’re seeing of a non-parametric algorithm

 

2 未完待续...