README.md

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山东大学计算机学院2021-2022机器学习笔记，总结了考试范围内的知识点

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git clone https://github.com/PTYin/ml-basics.git

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Contents

• Linear Regression [Markdown] [PDF]
• Logistic Regression [Markdown] [PDF]
• Bayesian Statistics and Regularization [Markdown] [PDF]
• Gaussian Discriminant Analysis, Naive Bayes and EM Algorithm [Markdown] [PDF]
• Support Vector Machine [Markdown] [PDF]
• K-Means [Markdown] [PDF]
• Factor Analysis and Principle Component Analysis [Markdown] [PDF]
• Learning Theory [Markdown] [PDF]

QA

• Naive Bayes [Markdown] [PDF]

Appendix

• Matrix Calculus [Markdown] [PDF]
• 矩阵求导 [Markdown] [PDF]
• Optimization [Markdown] [PDF]