> For the complete documentation index, see [llms.txt](https://luweikxy.gitbook.io/machine-learning-notes/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://luweikxy.gitbook.io/machine-learning-notes/numerical-calculation-and-optimization/least-square-method.md).

# 最小二乘法

* [返回顶层目录](https://luweikxy.gitbook.io/machine-learning-notes/numerical-calculation-and-optimization/pages/-LpO5vE88qYwjk5WM_Qf#目录)
* [返回上层目录](/machine-learning-notes/numerical-calculation-and-optimization.md)

1矩阵求导

2向量图解

[最小二乘法线性回归：矩阵视角](https://zhuanlan.zhihu.com/p/33899560)

3概率与极大似然

《深度学习》p147 正则化和欠约束优化问题

《深度学习》p28 伪拟