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![ ] ( notes/Images/机器学习和深度学习的数学基础.png )
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+ * [ 机器学习的数学基础] ( https://github.com/fengdu78/Data-Science-Notes/tree/master/0.math/0.basic )
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+ * [ CS229线性代数月概率论基础] ( https://github.com/fengdu78/Data-Science-Notes/tree/master/0.math/1.CS229 )
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### 机器学习基础
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#### 快速入门
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* 推荐顺序由前到后
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* [ 机器学习算法地图] ( http://www.tensorinfinity.com/paper_18.html )
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* [ 机器学习 吴恩达 Coursera个人笔记] ( https://github.com/Mikoto10032/DeepLearning/blob/master/books/%5BML-Coursera%5D%5B2014%5D%5BAndrew%20Ng%5D/%5B2014%5D%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E4%B8%AA%E4%BA%BA%E7%AC%94%E8%AE%B0%E5%AE%8C%E6%95%B4%E7%89%88v5.1.pdf ) && [ 视频(含官方笔记)] ( https://www.coursera.org/learn/machine-learning )
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+ * [ CS229 课程讲义中文翻译] ( https://kivy-cn.github.io/Stanford-CS-229-CN/#/ ) && [ 机器学习 吴恩达 cs229个人笔记] ( https://github.com/Mikoto10032/DeepLearning/blob/master/books/%5BML-CS229%5D%5B2011%5D%5BAndrew%20NG%5D/%5B2011%5D%E6%96%AF%E5%9D%A6%E7%A6%8F%E5%A4%A7%E5%AD%A6%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%AF%BE%E7%A8%8B%E4%B8%AA%E4%BA%BA%E7%AC%94.pdf ) && [ 官网(笔记)] ( http://cs229.stanford.edu/ ) && [ 视频(中文字幕)] ( http://open.163.com/special/opencourse/machinelearning.html )
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* [ 百页机器学习] ( http://themlbook.com/wiki/doku.php )
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- * [ 机器学习 吴恩达 cs229个人笔记] ( https://github.com/Mikoto10032/DeepLearning/blob/master/books/%5BML-CS229%5D%5B2011%5D%5BAndrew%20NG%5D/%5B2011%5D%E6%96%AF%E5%9D%A6%E7%A6%8F%E5%A4%A7%E5%AD%A6%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%AF%BE%E7%A8%8B%E4%B8%AA%E4%BA%BA%E7%AC%94.pdf ) && [ 官网(笔记)] ( http://cs229.stanford.edu/ ) && [ 视频(中文字幕)] ( http://open.163.com/special/opencourse/machinelearning.html )
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#### 深入理解
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* 推荐顺序由前到后
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