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Title: GitHub - Lesode/machine-learning-notesandcode: 机器学习学习笔记和代码

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Description: 机器学习学习笔记和代码. Contribute to Lesode/machine-learning-notesandcode development by creating an account on GitHub.

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X Description: 机器学习学习笔记和代码. Contribute to Lesode/machine-learning-notesandcode development by creating an account on GitHub.

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og:image:alt机器学习学习笔记和代码. Contribute to Lesode/machine-learning-notesandcode development by creating an account on GitHub.
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k近邻KNNhttps://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode/tree/master/k%E8%BF%91%E9%82%BBKNN
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决策树Decision Treehttps://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode/tree/master/%E5%86%B3%E7%AD%96%E6%A0%91Decision%20Tree
决策树Decision Treehttps://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode/tree/master/%E5%86%B3%E7%AD%96%E6%A0%91Decision%20Tree
感知机perceptronhttps://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode/tree/master/%E6%84%9F%E7%9F%A5%E6%9C%BAperceptron
感知机perceptronhttps://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode/tree/master/%E6%84%9F%E7%9F%A5%E6%9C%BAperceptron
提升树Boosting Treehttps://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode/tree/master/%E6%8F%90%E5%8D%87%E6%A0%91Boosting%20Tree
提升树Boosting Treehttps://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode/tree/master/%E6%8F%90%E5%8D%87%E6%A0%91Boosting%20Tree
支持向量机SVMhttps://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode/tree/master/%E6%94%AF%E6%8C%81%E5%90%91%E9%87%8F%E6%9C%BASVM
支持向量机SVMhttps://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode/tree/master/%E6%94%AF%E6%8C%81%E5%90%91%E9%87%8F%E6%9C%BASVM
朴素贝叶斯Bayeshttps://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode/tree/master/%E6%9C%B4%E7%B4%A0%E8%B4%9D%E5%8F%B6%E6%96%AFBayes
朴素贝叶斯Bayeshttps://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode/tree/master/%E6%9C%B4%E7%B4%A0%E8%B4%9D%E5%8F%B6%E6%96%AFBayes
逻辑斯蒂回归Logistic Regressionhttps://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode/tree/master/%E9%80%BB%E8%BE%91%E6%96%AF%E8%92%82%E5%9B%9E%E5%BD%92Logistic%20Regression
逻辑斯蒂回归Logistic Regressionhttps://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode/tree/master/%E9%80%BB%E8%BE%91%E6%96%AF%E8%92%82%E5%9B%9E%E5%BD%92Logistic%20Regression
Mnist train and test.rarhttps://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode/blob/master/Mnist%20train%20and%20test.rar
Mnist train and test.rarhttps://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode/blob/master/Mnist%20train%20and%20test.rar
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README.mdhttps://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode/blob/master/README.md
READMEhttps://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode
https://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode#机器学习学习笔记代码复现
舟晓南https://zhuanlan.zhihu.com/c_1274454587772915712
https://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode#目录
https://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode#以下内容为统计学习方法第二版学习笔记和复现代码
https://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode#感知机perceptron
感知机模型解读https://zhuanlan.zhihu.com/p/213772724
感知机模型的收敛性解读https://zhuanlan.zhihu.com/p/213905084
随机梯度下降法https://github.com/Zhouxiaonnan/machine-learning-notesandcode/blob/master/%E6%84%9F%E7%9F%A5%E6%9C%BAperceptron/%E6%84%9F%E7%9F%A5%E6%9C%BA%E6%A8%A1%E5%9E%8B%20-%20%E9%9A%8F%E6%9C%BA%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E6%B3%95.py
梯度下降法https://github.com/Zhouxiaonnan/machine-learning-notesandcode/blob/master/%E6%84%9F%E7%9F%A5%E6%9C%BAperceptron/%E6%84%9F%E7%9F%A5%E6%9C%BA%E6%A8%A1%E5%9E%8B%20-%20%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E6%B3%95.py
adagradhttps://github.com/Zhouxiaonnan/machine-learning-notesandcode/blob/master/%E6%84%9F%E7%9F%A5%E6%9C%BAperceptron/%E6%84%9F%E7%9F%A5%E6%9C%BA%E6%A8%A1%E5%9E%8B%20-%20adagrad.py
对偶形式https://github.com/Zhouxiaonnan/machine-learning-notesandcode/blob/master/%E6%84%9F%E7%9F%A5%E6%9C%BAperceptron/%E6%84%9F%E7%9F%A5%E6%9C%BA%E6%A8%A1%E5%9E%8B%20-%20%E5%AF%B9%E5%81%B6%E5%BD%A2%E5%BC%8F.py
https://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode#k近邻knn
k近邻（KNN）模型解读https://zhuanlan.zhihu.com/p/214165992
线性扫描https://github.com/Zhouxiaonnan/machine-learning-notesandcode/blob/master/k%E8%BF%91%E9%82%BBKNN/KNN%20-%20%E7%BA%BF%E6%80%A7%E6%89%AB%E6%8F%8F.py
带权值的近邻点优化https://github.com/Zhouxiaonnan/machine-learning-notesandcode/blob/master/k%E8%BF%91%E9%82%BBKNN/KNN%20-%20%E5%B8%A6%E6%9D%83%E5%80%BC%E7%9A%84%E8%BF%91%E9%82%BB%E7%82%B9%E4%BC%98%E5%8C%96.py
https://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode#朴素贝叶斯bayes
朴素贝叶斯模型解读https://zhuanlan.zhihu.com/p/215721959
朴素贝叶斯之后验概率最大化的含义https://zhuanlan.zhihu.com/p/215897132
贝叶斯估计https://github.com/Zhouxiaonnan/machine-learning-notesandcode/blob/master/%E6%9C%B4%E7%B4%A0%E8%B4%9D%E5%8F%B6%E6%96%AFBayes/%E6%9C%B4%E7%B4%A0%E8%B4%9D%E5%8F%B6%E6%96%AF%20-%20%E8%B4%9D%E5%8F%B6%E6%96%AF%E4%BC%B0%E8%AE%A1.py
https://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode#决策树decision-tree
决策树，CART决策树解析https://zhuanlan.zhihu.com/p/222724664
ID3https://github.com/Zhouxiaonnan/machine-learning-notesandcode/blob/master/%E5%86%B3%E7%AD%96%E6%A0%91Decision%20Tree/%E5%86%B3%E7%AD%96%E6%A0%91%20-%20ID3.py
C4.5https://github.com/Zhouxiaonnan/machine-learning-notesandcode/blob/master/%E5%86%B3%E7%AD%96%E6%A0%91Decision%20Tree/%E5%86%B3%E7%AD%96%E6%A0%91%20-%20C4.5.py
CARThttps://github.com/Zhouxiaonnan/machine-learning-notesandcode/blob/master/%E5%86%B3%E7%AD%96%E6%A0%91Decision%20Tree/%E5%86%B3%E7%AD%96%E6%A0%91%20-%20CART.py
https://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode#逻辑斯蒂回归logistic-regression
逻辑斯蒂回归解析https://zhuanlan.zhihu.com/p/231627246
最大熵模型解析https://zhuanlan.zhihu.com/p/234442747
改进的迭代尺度法IIS解析https://zhuanlan.zhihu.com/p/234553402
改进的迭代尺度法(IIS)中f#(x,y)的意义https://zhuanlan.zhihu.com/p/265299086
随机梯度下降法https://github.com/Zhouxiaonnan/machine-learning-notesandcode/blob/master/%E9%80%BB%E8%BE%91%E6%96%AF%E8%92%82%E5%9B%9E%E5%BD%92Logistic%20Regression/%E9%80%BB%E8%BE%91%E6%96%AF%E8%92%82%E5%9B%9E%E5%BD%92%20-%20%E9%9A%8F%E6%9C%BA%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D%E6%B3%95.py
SGDMhttps://github.com/Zhouxiaonnan/machine-learning-notesandcode/blob/master/%E9%80%BB%E8%BE%91%E6%96%AF%E8%92%82%E5%9B%9E%E5%BD%92Logistic%20Regression/%E9%80%BB%E8%BE%91%E6%96%AF%E8%92%82%E5%9B%9E%E5%BD%92%20-%20SGDM.py
RMSProphttps://github.com/Zhouxiaonnan/machine-learning-notesandcode/blob/master/%E9%80%BB%E8%BE%91%E6%96%AF%E8%92%82%E5%9B%9E%E5%BD%92Logistic%20Regression/%E9%80%BB%E8%BE%91%E6%96%AF%E8%92%82%E5%9B%9E%E5%BD%92%20-%20RMSProp.py
Adamhttps://github.com/Zhouxiaonnan/machine-learning-notesandcode/blob/master/%E9%80%BB%E8%BE%91%E6%96%AF%E8%92%82%E5%9B%9E%E5%BD%92Logistic%20Regression/%E9%80%BB%E8%BE%91%E6%96%AF%E8%92%82%E5%9B%9E%E5%BD%92%20-%20Adam.py
https://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode#支持向量机svm
线性可分支持向量机解析https://zhuanlan.zhihu.com/p/235266761
线性支持向量机解析https://zhuanlan.zhihu.com/p/237540358
非线性支持向量机解析https://zhuanlan.zhihu.com/p/240659581
序列最小最优化算法（SMO）解析https://zhuanlan.zhihu.com/p/248862271
支持向量机 - SMO - 高斯核函数https://github.com/Zhouxiaonnan/machine-learning-notesandcode/blob/master/%E6%94%AF%E6%8C%81%E5%90%91%E9%87%8F%E6%9C%BASVM/%E6%94%AF%E6%8C%81%E5%90%91%E9%87%8F%E6%9C%BA%20-%20SMO%20-%20%E9%AB%98%E6%96%AF%E6%A0%B8%E5%87%BD%E6%95%B0.py
https://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode#提升算法boosting
提升算法Adaboost解析https://zhuanlan.zhihu.com/p/250458152
提升树算法解析https://zhuanlan.zhihu.com/p/252398216
提升树https://github.com/Zhouxiaonnan/machine-learning-notesandcode/blob/master/%E6%8F%90%E5%8D%87%E6%A0%91Boosting%20Tree/Adaboost.py
https://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode#em算法
EM算法解析https://zhuanlan.zhihu.com/p/254871111
高斯混合模型的EM算法解析https://zhuanlan.zhihu.com/p/262243267
EM算法 - 高斯混合模型https://github.com/Zhouxiaonnan/machine-learning-notesandcode/blob/master/EM%E7%AE%97%E6%B3%95/EM%E7%AE%97%E6%B3%95.py
https://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode#隐马尔可夫模型
隐马尔可夫模型解析https://zhuanlan.zhihu.com/p/263493585
https://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode#条件随机场模型
条件随机场模型解析https://zhuanlan.zhihu.com/p/265341256
https://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode#聚类方法
层次聚类，k均值模型https://zhuanlan.zhihu.com/p/266163764
https://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode#奇异值分解svd
奇异值分解https://zhuanlan.zhihu.com/p/266554196
https://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode#主成分分析pca
主成分分析https://zhuanlan.zhihu.com/p/269204488
https://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode#潜在语义分析lsa
潜在语义分析https://zhuanlan.zhihu.com/p/270553039
https://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode#概率潜在语义分析plsa
概率潜在语义分析https://zhuanlan.zhihu.com/p/270889121
https://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode#马尔可夫链蒙特卡罗法mcmc
马尔可夫链蒙特卡罗法https://zhuanlan.zhihu.com/p/271682379
https://patch-diff.githubusercontent.com/Lesode/machine-learning-notesandcode#tensorflow学习笔记及代码
tensorflow2.0的特点https://github.com/Zhouxiaonnan/machine-learning-notesandcode/blob/master/tensorflow/tensorflow2.0%20-%20tensorflow2.0%E7%9A%84%E7%89%B9%E7%82%B9.ipynb
tensorflow2.0 - 基础1 - 创建和数据类型及其应用https://github.com/Zhouxiaonnan/machine-learning-notesandcode/blob/master/tensorflow/tensorflow2.0%20-%20%E5%9F%BA%E7%A1%801%20-%20%E5%88%9B%E5%BB%BA%E5%92%8C%E6%95%B0%E6%8D%AE%E7%B1%BB%E5%9E%8B%E5%8F%8A%E5%85%B6%E5%BA%94%E7%94%A8.ipynb
tensorflow2.0 - 基础2 - 索引切片;维度转换;数学运算https://github.com/Zhouxiaonnan/machine-learning-notesandcode/blob/master/tensorflow/tensorflow2.0%20-%20%E5%9F%BA%E7%A1%802%20-%20%E7%B4%A2%E5%BC%95%E5%88%87%E7%89%87%3B%E7%BB%B4%E5%BA%A6%E8%BD%AC%E6%8D%A2%3B%E6%95%B0%E5%AD%A6%E8%BF%90%E7%AE%97.ipynb
tensorflow2.0 - 神经网络构建的一般步骤https://github.com/Zhouxiaonnan/machine-learning-notesandcode/blob/master/tensorflow/tensorflow2.0%20-%20%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E6%9E%84%E5%BB%BA%E7%9A%84%E4%B8%80%E8%88%AC%E6%AD%A5%E9%AA%A4.ipynb
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