lining0806 / Machinelearningalgorithm
一些常用的机器学习算法实现
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1. 概率统计中常见概念总结
-
总体均值、总体方差
-
样本均值、样本方差
-
无偏估计、有偏估计
-
样本标准差
-
样本协方差、协方差矩阵
2. 一些常用的机器学习算法理论及实现
算法理论包括：
- 《统计学习方法》学习总结
算法实现包括：
-
Apriori 算法
-
DesicionTree 算法
-
HMM模型 Viterbi 算法
-
针对文本分类的 NaiveBayes 算法
-
针对文本分类的 LogisticRegression 算法
-
线性回归算法：
-
标准的线性回归
-
局部加权线性回归
-
岭回归
-
结果示例：
3. 一些常用的机器学习框架
框架包括：
项目包括：
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