随机森林(random forest）和 gradient boosting等决策树相关的资料
都是由最简单的决策树基础上面发展起来的，可以用来做基本的分类等，比如垃圾邮件识别。 效果很好的机器学习算法吧。看有没有时间深入学习一下。
xgboost 一个gradient boosting 的c++库 An optimized general purpose gradient boosting library. https://github.com/dmlc/xgboost
Boosted Tree 我爱计算机
http://www.52cs.org/?p=429
Introduction to Boosted Trees Tianqi Chen http://homes.cs.washington.edu/~tqchen/pdf/BoostedTree.pdf
Statistical Data Mining Tutorials Tutorial Slides by Andrew Moore http://www.autonlab.org/tutorials/
A Gentle Introduction to Gradient Boosting Cheng li
Trees, Bagging, Random Forests and Boosting http://jessica2.msri.org/attachments/10778/10778-boost.pdf
决策树系列(1):分类决策树 http://blog.typedef.me/2014/12/02/%E5%86%B3%E7%AD%96%E6%A0%91%E7%B3%BB%E5%88%97-1-%E5%88%86%E7%B1%BB%E5%86%B3%E7%AD%96%E6%A0%91/ 决策树系列(2):CART回归树 http://blog.typedef.me/2014/12/03/%E5%86%B3%E7%AD%96%E6%A0%91%E7%B3%BB%E5%88%97-2-%E5%9B%9E%E5%BD%92%E6%A0%91/ 决策树系列(4):随机森林 http://blog.typedef.me/2014/12/05/%E5%86%B3%E7%AD%96%E6%A0%91%E7%B3%BB%E5%88%97-4-%E9%9A%8F%E6%9C%BA%E6%A3%AE%E6%9E%97/ 决策树系列(5):Gradient Boosting和GBDT http://blog.typedef.me/2014/12/07/%E5%86%B3%E7%AD%96%E6%A0%91%E7%B3%BB%E5%88%97-5-Gradient-Boosting-Decision-Tree/
GBDT Gradient Boost Decision Tree http://m.blog.csdn.net/blog/fenghuangdesire/48415435
Treelink算法介绍 http://www.searchtb.com/2010/12/an-introduction-to-treelink.html
Random forest https://en.wikipedia.org/wiki/Random_forest
Random forest https://en.wikipedia.org/wiki/Random_forest
RANDOM FORESTS Leo Breiman http://leg.ufpr.br/lib/exe/fetch.php/wiki:internas:biblioteca:randomforests.pdf