机器学习--目录链接

1. 机器学习-学习路线图
http://blog.csdn.net/m0_37932560/article/details/77092974
2. 机器学习实战-代码修改
http://blog.csdn.net/m0_37932560/article/details/77097925
3. 02-K临近算法
http://blog.csdn.net/m0_37932560/article/details/73293369
4. 03-决策树
http://blog.csdn.net/m0_37932560/article/details/75268596
5. 04-贝叶斯决策
http://blog.csdn.net/m0_37932560/article/details/75330430
6. 05-Logistic回归
http://blog.csdn.net/m0_37932560/article/details/76934006
7. 06-支持向量机
http://blog.csdn.net/m0_37932560/article/details/76944121

链接—-非常棒的SVM讲解
http://blog.csdn.net/macyang/article/details/38782399/

8. 07-AdaBoost元算法提高分类性能
http://blog.csdn.net/m0_37932560/article/details/76985333
9. 08-预测数值型数据 回归
http://blog.csdn.net/m0_37932560/article/details/77068318
10. 09-树回归
http://blog.csdn.net/m0_37932560/article/details/77099153