├── .DS_Store ├── 01 机器学习开篇.pdf ├── 02 数学基础.pdf ├── 03 线性回归.pdf ├── 04 线性分类.pdf ├── 05 降维.pdf ├── 06 支持向量机.pdf ├── 07 核方法.pdf ├── 08 指数分布族.pdf ├── 09 概率图模型.pdf ├── 10 EM算法.pdf ├── 11 高斯混合模型.pdf ├── 12 变分推断.pdf ├── 13 马尔可夫链蒙特卡罗采样.pdf ├── 14 隐马尔可夫模型.pdf ├── 14 隐马尔可夫模型（序）.pdf ├── 15 卡曼滤波.pdf ├── 17 条件随机场.pdf ├── 19 贝叶斯线性回归.pdf ├── 22 谱聚类.pdf └── README.md /.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ws13685555932/machine_learning_derivation/HEAD/.DS_Store -------------------------------------------------------------------------------- /01 机器学习开篇.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ws13685555932/machine_learning_derivation/HEAD/01 机器学习开篇.pdf -------------------------------------------------------------------------------- /02 数学基础.pdf: -------------------------------------------------------------------------------- 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