线性,逻辑回归

之前我们已经大概学习了用线性回归（Linear Regression）来解决一些预测问题，详见： 
1.《机器学习笔记01：线性回归(Linear Regression)和梯度下降(Gradient Decent)》 
2.《机器学习笔记02：多元线性回归、梯度下降和Normal equation》 
3.《机器学习笔记03：Normal equation及其与梯度下降的比较》

机器学习笔记04：逻辑回归(Logistic regression)、分类(Classification)

http://blog.csdn.net/artprog/article/details/51241581

机器学习笔记05：正则化(Regularization)、过拟合(Overfitting)

http://blog.csdn.net/artprog/article/details/51278643

 

机器学习系列(2)_从初等数学视角解读逻辑回归

Stanford机器学习---第二讲. 多变量线性回归 Linear Regression with multiple variable

https://en.m.wikipedia.org/wiki/Logarithm

http://deeplearning.stanford.edu/wiki/index.php/Softmax回归

http://m.blog.csdn.net/bitcarmanlee/article/details/51165444

http://www.cnblogs.com/ljy2013/p/5129610.html

http://www.cnblogs.com/jerrylead/archive/2011/03/05/1971867.html

https://zh.wikipedia.org/wiki/%E6%9C%80%E5%A4%A7%E4%BC%BC%E7%84%B6%E4%BC%B0%E8%AE%A1

https://baike.baidu.com/item/%E6%9D%A1%E4%BB%B6%E6%A6%82%E7%8E%87

https://zh.wikipedia.org/wiki/%E6%9D%A1%E4%BB%B6%E6%A6%82%E7%8E%87

http://www.cnblogs.com/vamei/p/3195381.html

http://longmans1985.blog.163.com/blog/static/7060547520141141305315/

对线性回归，logistic回归和一般回归的认识 

http://bluewhale.cc/2016-05-18/logistic-regression.html

https://tech.meituan.com/intro_to_logistic_regression.html

http://m.blog.csdn.net/abcjennifer/article/details/7716281

 Logistic回归总结

http://blog.csdn.net/dongtingzhizi/article/details/15962797

逻辑回归模型(Logistic Regression, LR)基础

https://chenrudan.github.io/blog/2016/01/09/logisticregression.html

http://blog.csdn.net/dongtingzhizi/article/details/15962797

http://bluewhale.cc/2016-05-18/logistic-regression.html

https://spark.apache.org/docs/latest/ml-classification-regression.html

https://en.wikipedia.org/wiki/Simple_linear_regression

http://www.cnblogs.com/tornadomeet/archive/2013/03/22/2975978.html

http://www.cnblogs.com/tornadomeet/archive/2013/03/16/2963919.html

http://ufldl.stanford.edu/wiki/index.php/Softmax_Regression

http://ufldl.stanford.edu/tutorial/supervised/SoftmaxRegression/

http://www.cnblogs.com/tornadomeet/archive/2013/03/23/2977621.html

 

http://blog.csdn.net/xiazdong/article/details/7950084

https://github.com/apache/spark/blob/master/examples/src/main/scala/org/apache/spark/examples/ml/LinearRegressionExample.scala

http://studyai.site/2016/07/29/%E6%96%AF%E5%9D%A6%E7%A6%8F%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E8%AF%BE%E7%A8%8B%20%E7%AC%AC%E4%BA%8C%E5%91%A8%20(2)%E5%A4%9A%E5%85%83%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92%E5%88%86%E6%9E%90/

http://studentdeng.github.io/blog/2014/07/28/machine-learning-tutorial/

http://blog.csdn.net/xiazdong/article/details/7950084

http://zhazha.me/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%85%A5%E9%97%A8%EF%BC%88%E4%B8%89%EF%BC%89%EF%BC%9A%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92-Linear-Regression/

http://www.cnblogs.com/jerrylead/archive/2011/03/05/1971867.html

https://www.zybuluo.com/irving512/note/761819

http://zhikaizhang.cn/2016/05/16/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E4%B9%8B%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92/

https://github.com/MangoLiu/mangoliu.github.io/blob/master/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0_%E7%BA%BF%E6%80%A7%E5%9B%9E%E5%BD%92.md

http://blog.minitab.com/blog/adventures-in-statistics-2/how-to-interpret-regression-analysis-results-p-values-and-coefficients

http://www.theanalysisfactor.com/interpreting-regression-coefficients-in-models-other-than-ordinary-linear-regression/