【机器学习算法推导】线性模型
一、线性回归
\[ \begin{align}\begin{aligned}
\begin{aligned}\\\begin{split}(w^*, b^*) &= arg \ \mathrm{min} \sum_{i = 1}^ m(y - y_i)^2 \\
&= arg \ \mathrm{min} \sum_{i = 1}^m (wx_i + b - y_i)^2\end{split}\\\end{aligned}
\end{aligned}\end{align} \]