<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Logic on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/logic/</link><description>Recent content in Logic on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sun, 18 Jan 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/logic/index.xml" rel="self" type="application/rss+xml"/><item><title>Building a Simple Predictor (Conceptually)</title><link>https://ai-blog.noorshomelab.dev/ai-ml-journey-2026/build-simple-ai-predictor/</link><pubDate>Sun, 18 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-ml-journey-2026/build-simple-ai-predictor/</guid><description>&lt;h2 id="welcome-to-chapter-14-building-a-simple-predictor-conceptually"&gt;Welcome to Chapter 14: Building a Simple Predictor (Conceptually)!&lt;/h2&gt;
&lt;p&gt;Hey there, future AI explorer! Great to have you back. We&amp;rsquo;re about to embark on a super exciting part of our journey: understanding how AI actually &lt;em&gt;predicts&lt;/em&gt; things. You&amp;rsquo;ve already learned that AI and Machine Learning are like smart helpers that learn from examples. Today, we&amp;rsquo;re going to peek behind the curtain and see how they use what they&amp;rsquo;ve learned to make educated guesses about new situations.&lt;/p&gt;</description></item></channel></rss>