<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[狂奔的番茄]]></title><description><![CDATA[呆到深处自然萌]]></description><link>https://blog.youkuaiyun.com/u011292007</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; u011292007]]></copyright><item><title><![CDATA[kaggel[6] - recommend missing links in a social network]]></title><link>https://blog.youkuaiyun.com/u011292007/article/details/37914703</link><guid>https://blog.youkuaiyun.com/u011292007/article/details/37914703</guid><author>u011292007</author><pubDate>Sun, 20 Jul 2014 16:14:39 +0800</pubDate><description><![CDATA[比赛地址：http://www.kaggle.com/c/FacebookRecruiting
本篇看一个不太一样的，关于图]]></description><category></category></item><item><title><![CDATA[weka[11] - DBSCAN]]></title><link>https://blog.youkuaiyun.com/u011292007/article/details/37883483</link><guid>https://blog.youkuaiyun.com/u011292007/article/details/37883483</guid><author>u011292007</author><pubDate>Wed, 16 Jul 2014 19:34:15 +0800</pubDate><description><![CDATA[DBSCAN介绍可以看wiki：http://en.wikipedia.org/wiki/DBSCAN]]></description><category></category></item><item><title><![CDATA[Kaggle[5] - Can you predict if a listener will love a new song?]]></title><link>https://blog.youkuaiyun.com/u011292007/article/details/37736667</link><guid>https://blog.youkuaiyun.com/u011292007/article/details/37736667</guid><author>u011292007</author><pubDate>Wed, 16 Jul 2014 18:43:49 +0800</pubDate><description><![CDATA[比赛页面：http://www.kaggle.com/c/MusicHackathon]]></description><category></category></item><item><title><![CDATA[Kaggle[4] - Online Product Sales]]></title><link>https://blog.youkuaiyun.com/u011292007/article/details/37723083</link><guid>https://blog.youkuaiyun.com/u011292007/article/details/37723083</guid><author>u011292007</author><pubDate>Sun, 13 Jul 2014 10:13:55 +0800</pubDate><description><![CDATA[比赛链接：https://www.kaggle.com/c/online-sales]]></description><category></category></item><item><title><![CDATA[Kaggle[3] - Job Salary Prediction (Adzuna)]]></title><link>https://blog.youkuaiyun.com/u011292007/article/details/37693521</link><guid>https://blog.youkuaiyun.com/u011292007/article/details/37693521</guid><author>u011292007</author><pubDate>Fri, 11 Jul 2014 14:45:32 +0800</pubDate><description><![CDATA[http://www.kaggle.com/c/job-salary-prediction]]></description><category></category></item><item><title><![CDATA[Kaggle[2] - Predict the click through rate (KDD12 trackl2)]]></title><link>https://blog.youkuaiyun.com/u011292007/article/details/36886523</link><guid>https://blog.youkuaiyun.com/u011292007/article/details/36886523</guid><author>u011292007</author><pubDate>Wed, 09 Jul 2014 17:03:57 +0800</pubDate><description><![CDATA[比赛链接：http://www.kddcup2012.org/c/kddcup2012-track2]]></description><category></category></item><item><title><![CDATA[weka[10] - SimpleKmeans]]></title><link>https://blog.youkuaiyun.com/u011292007/article/details/37595917</link><guid>https://blog.youkuaiyun.com/u011292007/article/details/37595917</guid><author>u011292007</author><pubDate>Wed, 09 Jul 2014 13:17:44 +0800</pubDate><description><![CDATA[classification的算法还有一些，不过]]></description><category></category></item><item><title><![CDATA[weka[9] - Naive Bayes]]></title><link>https://blog.youkuaiyun.com/u011292007/article/details/36866807</link><guid>https://blog.youkuaiyun.com/u011292007/article/details/36866807</guid><author>u011292007</author><pubDate>Tue, 08 Jul 2014 10:27:29 +0800</pubDate><description><![CDATA[Naive Bayes就不做具体介绍了，很简单的]]></description><category></category></item><item><title><![CDATA[Kaggle[1] - Loan Default Prediction - Imperial College London]]></title><link>https://blog.youkuaiyun.com/u011292007/article/details/35827445</link><guid>https://blog.youkuaiyun.com/u011292007/article/details/35827445</guid><author>u011292007</author><pubDate>Thu, 03 Jul 2014 14:48:10 +0800</pubDate><description><![CDATA[比赛页面http://www.kaggle.com/c/loan-default-prediction]]></description><category></category></item><item><title><![CDATA[weka[8] - Logistic Regression]]></title><link>https://blog.youkuaiyun.com/u011292007/article/details/35568073</link><guid>https://blog.youkuaiyun.com/u011292007/article/details/35568073</guid><author>u011292007</author><pubDate>Sun, 29 Jun 2014 17:31:10 +0800</pubDate><description><![CDATA[Logistic Regression(逻辑回归)，应该也是鼎鼎有名了。]]></description><category></category></item><item><title><![CDATA[Dimension Reduction - feature selection]]></title><link>https://blog.youkuaiyun.com/u011292007/article/details/34826393</link><guid>https://blog.youkuaiyun.com/u011292007/article/details/34826393</guid><author>u011292007</author><pubDate>Thu, 26 Jun 2014 11:44:18 +0800</pubDate><description><![CDATA[前一篇谈到了feature extraction。这里可以先做一些jia]]></description><category></category></item><item><title><![CDATA[weka[7] - Adaboost]]></title><link>https://blog.youkuaiyun.com/u011292007/article/details/34457123</link><guid>https://blog.youkuaiyun.com/u011292007/article/details/34457123</guid><author>u011292007</author><pubDate>Wed, 25 Jun 2014 19:51:31 +0800</pubDate><description><![CDATA[前面已经分析完bagging，当然不得不提boosting了。作为boosting方法中，名气最大的suan]]></description><category></category></item><item><title><![CDATA[Dimension Reduction - feature extraction]]></title><link>https://blog.youkuaiyun.com/u011292007/article/details/32924265</link><guid>https://blog.youkuaiyun.com/u011292007/article/details/32924265</guid><author>u011292007</author><pubDate>Sat, 21 Jun 2014 14:03:42 +0800</pubDate><description><![CDATA[降维是一个很重要的问题，因为我们]]></description><category></category></item><item><title><![CDATA[关于下阶段的安排]]></title><link>https://blog.youkuaiyun.com/u011292007/article/details/32699177</link><guid>https://blog.youkuaiyun.com/u011292007/article/details/32699177</guid><author>u011292007</author><pubDate>Fri, 20 Jun 2014 10:42:39 +0800</pubDate><description><![CDATA[这几天忙着面试，终究因为身份问题]]></description><category></category></item><item><title><![CDATA[随机模拟的基本思想和常用采样方法（sampling）]]></title><link>https://blog.youkuaiyun.com/u011292007/article/details/31736517</link><guid>https://blog.youkuaiyun.com/u011292007/article/details/31736517</guid><author>u011292007</author><pubDate>Tue, 17 Jun 2014 10:04:29 +0800</pubDate><description><![CDATA[本文转自http://blog.youkuaiyun.com/xianlingmao/article/details/7768833]]></description><category></category></item><item><title><![CDATA[weka[6] - Random Forest]]></title><link>https://blog.youkuaiyun.com/u011292007/article/details/31488343</link><guid>https://blog.youkuaiyun.com/u011292007/article/details/31488343</guid><author>u011292007</author><pubDate>Mon, 16 Jun 2014 23:33:06 +0800</pubDate><description><![CDATA[终于来到Random Forests啦。
关于Random FP]]></description><category></category></item><item><title><![CDATA[weka[5] - Bagging]]></title><link>https://blog.youkuaiyun.com/u011292007/article/details/30716479</link><guid>https://blog.youkuaiyun.com/u011292007/article/details/30716479</guid><author>u011292007</author><pubDate>Mon, 16 Jun 2014 13:10:20 +0800</pubDate><description><![CDATA[111]]></description><category></category></item><item><title><![CDATA[常见面试之机器学习算法思想简单梳理]]></title><link>https://blog.youkuaiyun.com/u011292007/article/details/30774345</link><guid>https://blog.youkuaiyun.com/u011292007/article/details/30774345</guid><author>u011292007</author><pubDate>Sat, 14 Jun 2014 19:22:01 +0800</pubDate><description><![CDATA[前言：

　　找工作时（IT行业），除了常见的软件开发以外，机器学习岗位也可以当作是一个选择，不少计算机方向的研究生都会接触这个，如果你的研究方向是机器学习/数据挖掘之类，且又对其非常感兴趣的话，可以考虑考虑该岗位，毕竟在机器智能没达到人类水平之前，机器学习可以作为一种重要手段，而随着科技的不断发展，相信这方面的人才需求也会越来越大。

　　纵观IT行业的招聘岗位，机器学习之类的岗位还是挺]]></description><category></category></item><item><title><![CDATA[weka[4] - J48(三)]]></title><link>https://blog.youkuaiyun.com/u011292007/article/details/30474813</link><guid>https://blog.youkuaiyun.com/u011292007/article/details/30474813</guid><author>u011292007</author><pubDate>Sat, 14 Jun 2014 09:00:36 +0800</pubDate><description><![CDATA[前两篇算是简要说完了分裂和剪枝。下面可以进入正题，看看J48是如何工作的。]]></description><category></category></item><item><title><![CDATA[weka[3] - J48(二）]]></title><link>https://blog.youkuaiyun.com/u011292007/article/details/30121093</link><guid>https://blog.youkuaiyun.com/u011292007/article/details/30121093</guid><author>u011292007</author><pubDate>Fri, 13 Jun 2014 12:26:57 +0800</pubDate><description><![CDATA[J48（一）中，主要分析了分裂的策略：二叉和多叉
这一节，主要看看源码中，关于]]></description><category></category></item></channel></rss>