1. 概率统计中常见概念总结
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总体均值、总体方差
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样本均值、样本方差
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无偏估计、有偏估计
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样本标准差
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样本协方差、协方差矩阵
- 《统计学习方法》学习总结
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Apriori 算法
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DesicionTree 算法
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HMM模型 Viterbi 算法
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针对文本分类的 NaiveBayes 算法
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针对文本分类的 LogisticRegression 算法
-
线性回归算法:
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标准的线性回归
-
局部加权线性回归
-
岭回归
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This project forked from lining0806/machinelearningalgorithm
一些常用的机器学习算法实现
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
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
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