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Guan Blog

Introduction

该系列博客主要介绍机器学习相关的基础知识,博客结构如下:

  • 引入问题,介绍背景
  • 问题的数学描述以及求解,这里尽量包含必要的数学内容以支撑对该问题的解读
  • 没有实际用例实在难以理解各种算法的过程以及背后的含义,所以这里都加入了相应的数据集
    • 并通过Python以相应算法步骤求解,用于深入理解算法
    • 同时为了日后开发方便,每篇又都会引入scikit-learn机器学习包,加快对实际问题的求解。算法代码可以在我的github账号里找到
  • 最后列出相关的参考资料

除了机器学习算法以外,Guan Blog还包含相应的技术博客,例如Numpy介绍,数据可视化等。

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