├── 1 数学分析基础知识（牛顿法拟牛顿法）20191020.pdf ├── 2概率论.pdf ├── 3 线性代数.pdf ├── 4 凸优化.pdf └── 5 降维方法.pdf /1 数学分析基础知识（牛顿法拟牛顿法）20191020.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wetalkdata/Machine-Learning_Deep-Learning-Manual/af0853e651c0a44e355204ce6936547ec76b652a/1 数学分析基础知识（牛顿法拟牛顿法）20191020.pdf -------------------------------------------------------------------------------- /2概率论.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wetalkdata/Machine-Learning_Deep-Learning-Manual/af0853e651c0a44e355204ce6936547ec76b652a/2概率论.pdf -------------------------------------------------------------------------------- /3 线性代数.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wetalkdata/Machine-Learning_Deep-Learning-Manual/af0853e651c0a44e355204ce6936547ec76b652a/3 线性代数.pdf -------------------------------------------------------------------------------- /4 凸优化.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wetalkdata/Machine-Learning_Deep-Learning-Manual/af0853e651c0a44e355204ce6936547ec76b652a/4 凸优化.pdf -------------------------------------------------------------------------------- /5 降维方法.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/wetalkdata/Machine-Learning_Deep-Learning-Manual/af0853e651c0a44e355204ce6936547ec76b652a/5 降维方法.pdf --------------------------------------------------------------------------------