<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[L. D. Xiao]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/u014034685</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; u014034685]]></copyright><item><title><![CDATA[机器学习实战—第2章 k-近邻算法]]></title><link>https://blog.youkuaiyun.com/u014034685/article/details/72717146</link><guid>https://blog.youkuaiyun.com/u014034685/article/details/72717146</guid><author>u014034685</author><pubDate>Wed, 24 May 2017 22:36:30 +0800</pubDate><description><![CDATA[2.1 K-近邻算法概述简单地说，k-近邻算法采用测量不同特征值之间的距离方法进行分类。k-近邻算法
优点： 
精度高、对异常值不敏感、无数据输入假定
缺点 
计算复杂度高、空间复杂度高
使用数据范围： 
数值型和标称型
k-近邻算法的工作原理：存在一个样本数据集合，也称作训练样本集，并且样本集中每个数据都存在标签，即知道样本集中每一数据与所属分类的关系。输入没有标签的新数据后，将新数据的每个特征与]]></description><category></category></item><item><title><![CDATA[机器学习实战—第1章]]></title><link>https://blog.youkuaiyun.com/u014034685/article/details/72716502</link><guid>https://blog.youkuaiyun.com/u014034685/article/details/72716502</guid><author>u014034685</author><pubDate>Wed, 24 May 2017 21:16:02 +0800</pubDate><description><![CDATA[1.1 何谓机器学习1.2 关键术语
特征（属性）：数值型、二值型、枚举类型。特征或属性通常是训练样本的列，它们是独立测量得到的结果，多个特征联系在一起共同组成了一个训练样本
分类：是基本的机器学习任务
目标变量：分类任务中通常为标称型，回归任务通常为连续型
训练样本
训练集
训练数据、测试数据
1.3 机器学习的主要任务
分类
回归
分类和回归属于监督学习，这类算法必须知道预测什么，即目标变量的分]]></description><category></category></item><item><title><![CDATA[Spark统计热榜（JAVA版）]]></title><link>https://blog.youkuaiyun.com/u014034685/article/details/70665186</link><guid>https://blog.youkuaiyun.com/u014034685/article/details/70665186</guid><author>u014034685</author><pubDate>Mon, 24 Apr 2017 21:22:20 +0800</pubDate><description><![CDATA[Spark实现热榜的统计（JAVA实现）]]></description><category></category></item><item><title><![CDATA[JAVA开Kafka消费端]]></title><link>https://blog.youkuaiyun.com/u014034685/article/details/70664732</link><guid>https://blog.youkuaiyun.com/u014034685/article/details/70664732</guid><author>u014034685</author><pubDate>Mon, 24 Apr 2017 21:11:17 +0800</pubDate><description><![CDATA[JAVA， Kafka， consumer]]></description><category></category></item><item><title><![CDATA[JAVA操作MongoDB]]></title><link>https://blog.youkuaiyun.com/u014034685/article/details/70662895</link><guid>https://blog.youkuaiyun.com/u014034685/article/details/70662895</guid><author>u014034685</author><pubDate>Mon, 24 Apr 2017 20:59:18 +0800</pubDate><description><![CDATA[JAVA, MongoDB]]></description><category></category></item><item><title><![CDATA[JAVA实现读写Codis]]></title><link>https://blog.youkuaiyun.com/u014034685/article/details/70662185</link><guid>https://blog.youkuaiyun.com/u014034685/article/details/70662185</guid><author>u014034685</author><pubDate>Mon, 24 Apr 2017 20:51:52 +0800</pubDate><description><![CDATA[JAVA, Codis, Redis]]></description><category></category></item><item><title><![CDATA[距离（distance）、相似性（similarity）、向量范数（norm）]]></title><link>https://blog.youkuaiyun.com/u014034685/article/details/58202440</link><guid>https://blog.youkuaiyun.com/u014034685/article/details/58202440</guid><author>u014034685</author><pubDate>Mon, 27 Feb 2017 19:29:55 +0800</pubDate><description><![CDATA[距离、相似性、范数]]></description><category></category></item><item><title><![CDATA[推荐系统：技术、评估及高效算法 第15章]]></title><link>https://blog.youkuaiyun.com/u014034685/article/details/57523131</link><guid>https://blog.youkuaiyun.com/u014034685/article/details/57523131</guid><author>u014034685</author><pubDate>Sun, 26 Feb 2017 22:22:01 +0800</pubDate><description><![CDATA[Recommender Systems Handbook Chapter 15
设计和评估推荐系统的解释]]></description><category></category></item><item><title><![CDATA[推荐系统：技术、评估及高效算法 第14章]]></title><link>https://blog.youkuaiyun.com/u014034685/article/details/57416067</link><guid>https://blog.youkuaiyun.com/u014034685/article/details/57416067</guid><author>u014034685</author><pubDate>Sun, 26 Feb 2017 15:52:01 +0800</pubDate><description><![CDATA[Recommender Systems Handbook Chapter 14
构建更值得信任和具有说服力的推荐系统：特性对评估推荐系统的影响]]></description><category></category></item><item><title><![CDATA[推荐系统：技术、评估及高效算法 第13章]]></title><link>https://blog.youkuaiyun.com/u014034685/article/details/57412904</link><guid>https://blog.youkuaiyun.com/u014034685/article/details/57412904</guid><author>u014034685</author><pubDate>Sun, 26 Feb 2017 14:07:49 +0800</pubDate><description><![CDATA[Recommender Systems Handbook Chapter 13
基于评价推荐系统的进展]]></description><category></category></item><item><title><![CDATA[JavaMail发送邮件]]></title><link>https://blog.youkuaiyun.com/u014034685/article/details/54619618</link><guid>https://blog.youkuaiyun.com/u014034685/article/details/54619618</guid><author>u014034685</author><pubDate>Thu, 19 Jan 2017 21:34:33 +0800</pubDate><description><![CDATA[JavaMail发送]]></description><category></category></item><item><title><![CDATA[FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask]]></title><link>https://blog.youkuaiyun.com/u014034685/article/details/54577264</link><guid>https://blog.youkuaiyun.com/u014034685/article/details/54577264</guid><author>u014034685</author><pubDate>Mon, 16 Jan 2017 20:38:15 +0800</pubDate><description><![CDATA[Caused by: java.util.regex.PatternSyntaxException: Unclosed character class near index
FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
MapReduce Jobs Launched:]]></description><category></category></item><item><title><![CDATA[Spark快速大数据分析 第5章]]></title><link>https://blog.youkuaiyun.com/u014034685/article/details/54562537</link><guid>https://blog.youkuaiyun.com/u014034685/article/details/54562537</guid><author>u014034685</author><pubDate>Sun, 15 Jan 2017 16:00:56 +0800</pubDate><description><![CDATA[Learning Spark: Lightning-fast Data Analysis Chapter 5
数据读取与保存]]></description><category></category></item><item><title><![CDATA[Spark快速大数据分析 第4章]]></title><link>https://blog.youkuaiyun.com/u014034685/article/details/54411461</link><guid>https://blog.youkuaiyun.com/u014034685/article/details/54411461</guid><author>u014034685</author><pubDate>Fri, 13 Jan 2017 19:35:38 +0800</pubDate><description><![CDATA[Learning Spark: Lightning-fast Data Analysis Chapter 4
键值对操作]]></description><category></category></item><item><title><![CDATA[CentOS 6.5安装MySQL]]></title><link>https://blog.youkuaiyun.com/u014034685/article/details/54318187</link><guid>https://blog.youkuaiyun.com/u014034685/article/details/54318187</guid><author>u014034685</author><pubDate>Tue, 10 Jan 2017 21:50:48 +0800</pubDate><description><![CDATA[虚拟机上（CentOS 6.5）安装MySQL
解决方法
Step 1: yum list mysql-server + Enter(回车)
Step 2: yum install mysql-server + Enter（回车）
Step 3: service mysqld start + Enter（回车）
Step 4: mysql + Enter（回车）]]></description><category></category></item><item><title><![CDATA[推荐系统：技术、评估及高效算法 第12章]]></title><link>https://blog.youkuaiyun.com/u014034685/article/details/54317190</link><guid>https://blog.youkuaiyun.com/u014034685/article/details/54317190</guid><author>u014034685</author><pubDate>Tue, 10 Jan 2017 19:59:16 +0800</pubDate><description><![CDATA[Recommender Systems Handbook Chapter 12
用于强化学习的推荐系统]]></description><category></category></item><item><title><![CDATA[Spark快速大数据分析 第3章]]></title><link>https://blog.youkuaiyun.com/u014034685/article/details/54293381</link><guid>https://blog.youkuaiyun.com/u014034685/article/details/54293381</guid><author>u014034685</author><pubDate>Mon, 09 Jan 2017 21:48:31 +0800</pubDate><description><![CDATA[Learning Spark: Lightning-fast Data Analysis Chapter 3
RDD编程]]></description><category></category></item><item><title><![CDATA[推荐系统：技术、评估及高效算法 第11章]]></title><link>https://blog.youkuaiyun.com/u014034685/article/details/54292575</link><guid>https://blog.youkuaiyun.com/u014034685/article/details/54292575</guid><author>u014034685</author><pubDate>Mon, 09 Jan 2017 20:29:33 +0800</pubDate><description><![CDATA[Recommender Systems Handbook Chapter 11
匹配推荐系统的基于与领域]]></description><category></category></item><item><title><![CDATA[Spark快速大数据分析 第2章]]></title><link>https://blog.youkuaiyun.com/u014034685/article/details/54233735</link><guid>https://blog.youkuaiyun.com/u014034685/article/details/54233735</guid><author>u014034685</author><pubDate>Sun, 08 Jan 2017 14:29:19 +0800</pubDate><description><![CDATA[Learning Spark: Lightning-fast Data Analysis Chapter 2
笔记下载地址 
http://pan.baidu.com/s/1pKOQ5IF]]></description><category></category></item><item><title><![CDATA[Spark快速大数据分析 第1章]]></title><link>https://blog.youkuaiyun.com/u014034685/article/details/54176387</link><guid>https://blog.youkuaiyun.com/u014034685/article/details/54176387</guid><author>u014034685</author><pubDate>Sat, 07 Jan 2017 17:14:55 +0800</pubDate><description><![CDATA[Spark快速大数据分析-第1章
Learning Spark: Lightning-fast Data Analysis
笔记下载地址 
http://pan.baidu.com/s/1kUJ8Xkb]]></description><category></category></item></channel></rss>