線性迴歸模型

#線性迴歸模型

##1.1模型介紹

Hypothesis:  

$$\displaystyle h_\theta(x)=\theta_0 + \theta_1x$$

Parameters:  

$$\theta_1,:\theta_2$$

Cost Function:   

$$\displaystyle J(\theta_0,\theta_2)=\frac{1}{2m}\sum_{i=1}^{m}(h_\theta(x^{(i)}-y^{(i)})^2$$

Goal:  

$$\displaystyle minimize_{\theta_1,\theta_2}J(\theta_1:\theta_1)$$