<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>机器学习 - 标签 - Aphros的博客</title><link>https://blog.papergate.top/tags/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/</link><description>我的个人博客</description><generator>Hugo 0.161.1 &amp; FixIt v0.4.0-alpha.3-20251225101113-8ffb9a95</generator><language>zh-CN</language><lastBuildDate>Sun, 07 Dec 2025 18:34:38 +0800</lastBuildDate><atom:link href="https://blog.papergate.top/tags/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/index.xml" rel="self" type="application/rss+xml"/><item><title>机器学习基础~07.数据规约</title><link>https://blog.papergate.top/posts/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80~07.%E6%95%B0%E6%8D%AE%E8%A7%84%E7%BA%A6/</link><pubDate>Thu, 15 May 2025 15:10:32 +0800</pubDate><guid>https://blog.papergate.top/posts/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80~07.%E6%95%B0%E6%8D%AE%E8%A7%84%E7%BA%A6/</guid><category domain="https://blog.papergate.top/categories/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/">机器学习</category><description>数据规约能够产生更小的但保持原数据完整性的新数据集，在规约后的数据集上进行分析和挖掘将更有效率。</description></item><item><title>机器学习基础~06.数据变换</title><link>https://blog.papergate.top/posts/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80~06.%E6%95%B0%E6%8D%AE%E5%8F%98%E6%8D%A2/</link><pubDate>Thu, 15 May 2025 15:04:34 +0800</pubDate><guid>https://blog.papergate.top/posts/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80~06.%E6%95%B0%E6%8D%AE%E5%8F%98%E6%8D%A2/</guid><category domain="https://blog.papergate.top/categories/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/">机器学习</category><description>数据变换涉及简单的函数变换、规范化、类型变换、属性构造等。</description></item><item><title>机器学习基础~05.数据集成</title><link>https://blog.papergate.top/posts/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80~05.%E6%95%B0%E6%8D%AE%E9%9B%86%E6%88%90/</link><pubDate>Thu, 15 May 2025 14:56:30 +0800</pubDate><guid>https://blog.papergate.top/posts/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80~05.%E6%95%B0%E6%8D%AE%E9%9B%86%E6%88%90/</guid><category domain="https://blog.papergate.top/categories/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/">机器学习</category><description>数据集成是将数据从多个数据源或表中合并，以便进行分析和建模。</description></item><item><title>机器学习基础~04.数据清洗</title><link>https://blog.papergate.top/posts/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80~04.%E6%95%B0%E6%8D%AE%E6%B8%85%E6%B4%97/</link><pubDate>Thu, 15 May 2025 14:41:54 +0800</pubDate><guid>https://blog.papergate.top/posts/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80~04.%E6%95%B0%E6%8D%AE%E6%B8%85%E6%B4%97/</guid><category domain="https://blog.papergate.top/categories/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/">机器学习</category><description>清洗数据可以包括填充缺失值、删除重复值、处理异常值等。</description></item><item><title>机器学习基础~03.数据准备</title><link>https://blog.papergate.top/posts/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80~03.%E6%95%B0%E6%8D%AE%E5%87%86%E5%A4%87/</link><pubDate>Thu, 15 May 2025 14:37:17 +0800</pubDate><guid>https://blog.papergate.top/posts/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80~03.%E6%95%B0%E6%8D%AE%E5%87%86%E5%A4%87/</guid><category domain="https://blog.papergate.top/categories/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/">机器学习</category><description>数据准备分为特征提取、类型转换、数据清洗、数据集成、数据变换、数据规约几个步骤。</description></item><item><title>机器学习基础~02.数据读取</title><link>https://blog.papergate.top/posts/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80~02.%E6%95%B0%E6%8D%AE%E8%AF%BB%E5%8F%96/</link><pubDate>Thu, 15 May 2025 14:23:14 +0800</pubDate><guid>https://blog.papergate.top/posts/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80~02.%E6%95%B0%E6%8D%AE%E8%AF%BB%E5%8F%96/</guid><category domain="https://blog.papergate.top/categories/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/">机器学习</category><description>要进行机器学习，首先要获取数据，本文将讲述从各种数据源中获取数据的过程。</description></item><item><title>机器学习基础~01.概述</title><link>https://blog.papergate.top/posts/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80~01.%E6%A6%82%E8%BF%B0/</link><pubDate>Thu, 15 May 2025 14:12:54 +0800</pubDate><guid>https://blog.papergate.top/posts/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%9F%BA%E7%A1%80~01.%E6%A6%82%E8%BF%B0/</guid><category domain="https://blog.papergate.top/categories/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/">机器学习</category><description>本文讲述数据挖掘和机器学习的概念，以及其基本工作流程。</description></item></channel></rss>