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 <time datetime=2026-03-20>2026-03-20</time>
-<span>· 88 min</span></div><h2 class=all-card-title>Probabilistic Machine Learn Advanced Topics Summary</h2><p class=all-card-summary>《Probabilistic Machine Learning: Advanced Topics》第1章“Introduction”详细讲解 1. 引言：从“曲线拟合”到“世界理解” 本章作为全书的开篇，旨在说明传统机器学习（尤其是深度学习）的局限性，并勾勒出本书将要探讨的更广 …</p><div class=all-card-tags><span>#Book Summary</span><span>#Machine Learning</span></div></a></article><article class=all-card><a class=all-card-link href=/notes/deep-learning-goodfellow/><div class=all-meta><span class=all-section>Notes</span>
+<span>· 88 min</span></div><h2 class=all-card-title>Probabilistic Machine Learn Advanced Topics Summary</h2><p class=all-card-summary>Anki 卡片
+《Probabilistic Machine Learning: Advanced Topics》第1章“Introduction”详细讲解 1. 引言：从“曲线拟合”到“世界理解” 本章作为全书的开篇，旨在说明传统机器学习（尤其是深度学习）的局限性，并勾勒出本 …</p><div class=all-card-tags><span>#Book Summary</span><span>#Machine Learning</span></div></a></article><article class=all-card><a class=all-card-link href=/notes/deep-learning-goodfellow/><div class=all-meta><span class=all-section>Notes</span>
 <time datetime=2026-03-16>2026-03-16</time>
 <span>· 48 min</span></div><h2 class=all-card-title>《Deep Learning》Summary</h2><p class=all-card-summary>Anki 卡片
 《深度学习》（Ian Goodfellow 著）第1章“引言”详细讲解 1. 本章概述与定位 第1章“引言”是全书的开篇，旨在为读者建立对“深度学习”这一领域的宏观认知。它不是一本技术手册的简单开场白，而是一幅精心绘制的“知识地图”。本章通过回顾人工智能的发展历 …</p><div class=all-card-tags><span>#Book Summary</span><span>#Machine Learning</span></div></a></article><article class=all-card><a class=all-card-link href=/notes/sutton-rl-v2-summary/><div class=all-meta><span class=all-section>Notes</span>

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-<span>· 88 min</span></div><h3 class=home-card-title>Probabilistic Machine Learn Advanced Topics Summary</h3><p class=home-card-summary>《Probabilistic Machine Learning: Advanced Topics》第1章“Introduction”详细讲解 1. 引言：从“曲线拟合”到“世界理 …</p><div class=home-card-tags><span>#Book Summary</span><span>#Machine Learning</span></div></a></article><article class=home-card><a class=home-card-link href=/notes/deep-learning-goodfellow/><div class=home-card-meta><time datetime=2026-03-16>2026-03-16</time>
+<span>· 88 min</span></div><h3 class=home-card-title>Probabilistic Machine Learn Advanced Topics Summary</h3><p class=home-card-summary>Anki 卡片
+《Probabilistic Machine Learning: Advanced Topics》第1章“Introduction”详细讲解 1. 引言：从“曲线 …</p><div class=home-card-tags><span>#Book Summary</span><span>#Machine Learning</span></div></a></article><article class=home-card><a class=home-card-link href=/notes/deep-learning-goodfellow/><div class=home-card-meta><time datetime=2026-03-16>2026-03-16</time>
 <span>· 48 min</span></div><h3 class=home-card-title>《Deep Learning》Summary</h3><p class=home-card-summary>Anki 卡片
 《深度学习》（Ian Goodfellow 著）第1章“引言”详细讲解 1. 本章概述与定位 第1章“引言”是全书的开篇，旨在为读者建立对“深度学习”这一领域的宏 …</p><div class=home-card-tags><span>#Book Summary</span><span>#Machine Learning</span></div></a></article></div><a class=home-more href=/all/>查看更多 →</a></div></div></div></section></div></main><footer class=footer><span>&copy; 2026 <a href=https://qinggo.github.io/>QingGo的碎碎念</a></span> ·
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+<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>QingGo的碎碎念</title><link>https://qinggo.github.io/</link><description>Recent content on QingGo的碎碎念</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Fri, 20 Mar 2026 17:41:22 +0800</lastBuildDate><atom:link href="https://qinggo.github.io/index.xml" rel="self" type="application/rss+xml"/><item><title>Probabilistic Machine Learn Advanced Topics Summary</title><link>https://qinggo.github.io/notes/probabilistic-machine-learn-advanced-topics-summary/</link><pubDate>Fri, 20 Mar 2026 11:15:01 +0800</pubDate><guid>https://qinggo.github.io/notes/probabilistic-machine-learn-advanced-topics-summary/</guid><description>&lt;p&gt;&lt;img alt="MLAPP-2-2-mindmap.png" loading="lazy" src="https://qinggo.github.io/images/MLAPP-2-2-mindmap.png"&gt;&lt;/p&gt;
+&lt;p&gt;&lt;a href="https://qinggo.github.io/anki_desks/%E7%AE%97%E6%B3%95%E7%9F%A5%E8%AF%86%E7%82%B9__MLAPP2-2.apkg"&gt;Anki 卡片&lt;/a&gt;&lt;/p&gt;
 &lt;h1 id="probabilistic-machine-learning-advanced-topics第1章introduction详细讲解"&gt;《Probabilistic Machine Learning: Advanced Topics》第1章“Introduction”详细讲解&lt;/h1&gt;
 &lt;h2 id="1-引言从曲线拟合到世界理解"&gt;1. 引言：从“曲线拟合”到“世界理解”&lt;/h2&gt;
 &lt;p&gt;本章作为全书的开篇，旨在说明传统机器学习（尤其是深度学习）的局限性，并勾勒出本书将要探讨的更广阔领域——如何从“模式识别”走向对世界更深刻的理解和建模。&lt;/p&gt;