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machinelearningalgorithm's Introduction

  • 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:

image

image

3. 一些常用的机器学习框架

框架包括:

  • Keras [1]

  • TensorFlow [1] [2]

  • sklearn [1]

项目包括:

machinelearningalgorithm's People

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