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Title: GitHub - lcatro/Machine-Learning-Note: 机器学习笔记

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X Title: GitHub - lcatro/Machine-Learning-Note: 机器学习笔记

Description: 机器学习笔记. Contribute to lcatro/Machine-Learning-Note development by creating an account on GitHub.

Open Graph Description: 机器学习笔记. Contribute to lcatro/Machine-Learning-Note development by creating an account on GitHub.

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https://patch-diff.githubusercontent.com/lcatro/Machine-Learning-Note#machine-learning-note
https://patch-diff.githubusercontent.com/lcatro/Machine-Learning-Note#学习资源
机器学习算法原理https://github.com/wepe/MachineLearning
机器学习实战原书内容与批注https://github.com/apachecn/MachineLearning
机器学习的Python 实现https://github.com/lawlite19/MachineLearning_Python#1-%E4%BB%A3%E4%BB%B7%E5%87%BD%E6%95%B0
机器学习算法集锦https://zhuanlan.zhihu.com/p/25327755
各种机器学习的应用场景分别是什么https://www.zhihu.com/question/26726794
https://patch-diff.githubusercontent.com/lcatro/Machine-Learning-Note#knn-k-邻近算法
https://patch-diff.githubusercontent.com/lcatro/Machine-Learning-Note/blob/master/pic/kNN.jpg
https://patch-diff.githubusercontent.com/lcatro/Machine-Learning-Note#决策树
https://patch-diff.githubusercontent.com/lcatro/Machine-Learning-Note#朴素贝叶斯
机器学习算法之朴素贝叶斯(Naive Bayes)--第一篇http://blog.csdn.net/xlinsist/article/details/51236454
朴素贝叶斯理论推导与三种常见模型http://blog.csdn.net/u012162613/article/details/48323777
用朴素贝叶斯进行文本分类http://blog.csdn.net/longxinchen_ml/article/details/50597149
朴素贝叶斯算法之文本分类算法的理解与实现http://www.cnblogs.com/XBWer/archive/2014/07/13/3840736.html
https://patch-diff.githubusercontent.com/lcatro/Machine-Learning-Note#logics-回归
logics 回归总结http://blog.chinaunix.net/xmlrpc.php?r=blog/article&uid=9162199&id=4223505
logics 回归数学推导http://sbp810050504.blog.51cto.com/2799422/1608064/
https://patch-diff.githubusercontent.com/lcatro/Machine-Learning-Note#svm-支持向量机
SVM 原理http://www.cnblogs.com/steven-yang/p/5658362.html
通俗易懂SVMhttps://www.zhihu.com/question/21094489
SVM和logistic回归分别在什么情况下使用https://www.zhihu.com/question/21704547
https://patch-diff.githubusercontent.com/lcatro/Machine-Learning-Note#深度学习
零基础入门深度学习(总计六章)https://zhuanlan.zhihu.com/p/25628246
https://patch-diff.githubusercontent.com/lcatro/Machine-Learning-Note#cnn
Deep Learning(深度学习)学习笔记整理系列http://www.cnblogs.com/zhizhan/p/4077947.html
CNN(卷积神经网络),RNN(循环神经网络),DNN(深度神经网络)的内部网络结构有什么区别https://www.zhihu.com/question/34681168
深度学习简介(一)——卷积神经网络https://www.cnblogs.com/alexcai/p/5506806.html
卷积神经网络CNN基本概念笔记http://www.jianshu.com/p/606a33ba04ff
画出卷积神经网络结构图http://www.jianshu.com/p/56a05b5e4f20
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使用Keras+卷积神经网络玩小鸟http://www.jianshu.com/p/3ba69493f020
什么是 Q-Learninghttps://zhuanlan.zhihu.com/p/24808797
如何用简单例子讲解Q-learning的具体过程https://www.zhihu.com/question/26408259
https://patch-diff.githubusercontent.com/lcatro/Machine-Learning-Note#python-库
scikit-learn 机器学习库https://github.com/scikit-learn/scikit-learn
scikit-learn 机器学习库中文文档http://sklearn.apachecn.org/cn/0.19.0/index.html
scikit-learn 下载传送门https://pypi.python.org/pypi/scikit-learn
Keras 深度学习库https://github.com/fchollet/keras
tensorflow 机器学习与深度学习库https://github.com/tensorflow/tensorflow
matplotlib 数据分析库https://github.com/matplotlib/matplotlib
matplotlib API 使用手册http://matplotlib.org/api/index.html
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