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statistical-learning-method's Introduction

Statistical-Learning-Method

Summary

本教程主要介绍《统计学习方法》2012'李航的知识点,主要关于机器学习的基础理论,有关代码实践可参考《Machine Learning in Action》

第1章 统计学习方法概论

第2章 感知机

第3章 k近邻法

第4章 朴素贝叶斯法

第5章 决策树

第6章 逻辑斯谛回归与最大熵模型

第7章 支持向量机

第8章 提示方法

第9章 EM算法及其推广

第10章 隐马尔可夫模型

第11章 条件随机场

第12章 统计学习方法总结

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