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群小哥哥：Wizard Zhang	https://github.com/wizardforcel
《机器学习实战-ApacheCN.pdf》	https://github.com/apachecn/MachineLearning/blob/master/books/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%AE%9E%E6%88%98-ApacheCN.pdf
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第 2 章: KNN 近邻算法	https://github.com/apachecn/MachineLearning/blob/master/docs/2.k-近邻算法.md
@尤永江	https://github.com/youyj521
第 3 章: 决策树	https://github.com/apachecn/MachineLearning/blob/master/docs/3.决策树.md
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第 4 章: 朴素贝叶斯	https://github.com/apachecn/MachineLearning/blob/master/docs/4.朴素贝叶斯.md
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第 7 章: 集成方法（随机森林和 AdaBoost）	https://github.com/apachecn/MachineLearning/blob/master/docs/7.集成方法-随机森林和AdaBoost.md
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第 10 章: K-Means 聚类	https://github.com/apachecn/MachineLearning/blob/master/docs/10.k-means聚类.md
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@刘海飞	https://github.com/WindZQ
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@程威	https://github.com/mikechengwei
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@廖立娟	https://github.com/lljuan330
第 14 章: 利用 SVD 来简化数据	https://github.com/apachecn/MachineLearning/blob/master/docs/14.利用SVD简化数据.md
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第 15 章: 大数据与 MapReduce	https://github.com/apachecn/MachineLearning/blob/master/docs/15.大数据与MapReduce.md
第 16 章: 推荐系统	https://github.com/apachecn/MachineLearning/blob/master/docs/16.推荐系统.md
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知乎问答-爆炸啦-机器学习该怎么入门？	https://www.zhihu.com/question/20691338/answer/248678328
MachineLearning(机器学习) 学习路线图	http://www.apachecn.org/map/145.html
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可汗学院(线性代数)	http://open.163.com/special/Khan/linearalgebra.html
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	http://i.youku.com/apachecn
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吴恩达机器学习	http://study.163.com/course/courseMain.htm?courseId=1004570029
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