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..https://github.com/windzhougithub/MVision/tree/master
c_cpp代码实现.mdhttps://github.com/windzhougithub/MVision/blob/master/Python_Machine_Learning/c_cpp%E4%BB%A3%E7%A0%81%E5%AE%9E%E7%8E%B0.md
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机器学习工作要求.mdhttps://github.com/windzhougithub/MVision/blob/master/Python_Machine_Learning/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%B7%A5%E4%BD%9C%E8%A6%81%E6%B1%82.md
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readme.mdhttps://github.com/windzhougithub/MVision/tree/master/Python_Machine_Learning#readme
https://github.com/windzhougithub/MVision/tree/master/Python_Machine_Learning#机器学习
我的代码!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!https://github.com/Ewenwan/PyML
台湾大学李宏毅老师机器学习https://github.com/Ewenwan/NTU-Machine-learning
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c++ 机器学习库源码,可借鉴,学习!!!!!!!https://github.com/mlpack/mlpack
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集体智慧编程 collective intelligencehttps://github.com/Ewenwan/Programming-Collective-Intelligence-Source-Code
https://github.com/windzhougithub/MVision/tree/master/Python_Machine_Learning#1-最大释然估计--maximum-likelihood-estimation-mle--最大后验概率maximum-a-posterior-map
https://github.com/windzhougithub/MVision/tree/master/Python_Machine_Learning#2-朴素贝叶斯-naive-bayes
https://github.com/windzhougithub/MVision/tree/master/Python_Machine_Learning#3-线性回归-逻辑回归-多项式回归-linear-regression-logistic-regression--polynomial-regression
https://github.com/windzhougithub/MVision/tree/master/Python_Machine_Learning#4-无参数方法-knn-核方法
https://github.com/windzhougithub/MVision/tree/master/Python_Machine_Learning#5-模型选择-model-selection---过拟合--交叉验证
https://github.com/windzhougithub/MVision/tree/master/Python_Machine_Learning#6-决策树-decision-trees
https://github.com/windzhougithub/MVision/tree/master/Python_Machine_Learning#7-集成学习-adaboost-algorithm-三个臭皮匠顶个诸葛亮
https://github.com/windzhougithub/MVision/tree/master/Python_Machine_Learning#8-支持向量机-support-vector-machines
https://github.com/windzhougithub/MVision/tree/master/Python_Machine_Learning#9-聚类-clustering
https://github.com/windzhougithub/MVision/tree/master/Python_Machine_Learning#10-期望最大化算法-em-algorithm-高斯混合模型--gmm
https://github.com/windzhougithub/MVision/tree/master/Python_Machine_Learning#11-学习理论-pca
https://github.com/windzhougithub/MVision/tree/master/Python_Machine_Learning#12-hmm隐马尔可夫模型-前向后向算法-维特比算法
https://github.com/windzhougithub/MVision/tree/master/Python_Machine_Learning#13-图模型--graphical-models
https://github.com/windzhougithub/MVision/tree/master/Python_Machine_Learning#14-非线性学习-拉普拉斯特征映射--spectral-clustering谱聚类
https://github.com/windzhougithub/MVision/tree/master/Python_Machine_Learning#15-神经网络-neural-networks-前向-反向传播
https://github.com/windzhougithub/MVision/tree/master/Python_Machine_Learning#16-半监督学习-semi-supervised-learning
https://github.com/windzhougithub/MVision/tree/master/Python_Machine_Learning#17-强化学习-reinforcement-learning-又称再励学习评价学习
https://github.com/windzhougithub/MVision/tree/master/Python_Machine_Learning#博客参考
机器学习(一)——线性回归 雅克比矩阵 海塞矩阵 梯度下降 LMS(least mean squares,最小均方)算法 欠拟合与过拟合http://antkillerfarm.github.io/ml/2016/07/27/Machine_Learning.html
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