<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Supervised Learning on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/supervised-learning/</link><description>Recent content in Supervised Learning 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/supervised-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter 7: Supervised Learning: Learning with a Teacher</title><link>https://ai-blog.noorshomelab.dev/ai-ml-journey-2026/supervised-learning-intro/</link><pubDate>Sun, 18 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-ml-journey-2026/supervised-learning-intro/</guid><description>&lt;h2 id="introduction-learning-with-a-teacher"&gt;Introduction: Learning with a Teacher&lt;/h2&gt;
&lt;p&gt;Welcome back, aspiring AI explorer! In our previous chapters, we laid the groundwork by understanding what AI and ML are, how data powers them, and the concept of a &amp;ldquo;model&amp;rdquo; that learns patterns. Now, it&amp;rsquo;s time to dive into the most common and perhaps easiest-to-grasp type of machine learning: &lt;strong&gt;Supervised Learning&lt;/strong&gt;.&lt;/p&gt;
&lt;p&gt;Imagine you&amp;rsquo;re learning something new, like identifying different types of birds. How do you usually learn? You probably look at pictures, maybe listen to their calls, and someone (a teacher, a parent, or even an app) tells you, &amp;ldquo;This is a robin,&amp;rdquo; or &amp;ldquo;That&amp;rsquo;s a blue jay.&amp;rdquo; You learn by being &lt;em&gt;shown examples with their correct answers&lt;/em&gt;. That&amp;rsquo;s exactly what supervised learning is all about!&lt;/p&gt;</description></item><item><title>Supervised vs. Unsupervised Learning: Two Ways AI Learns</title><link>https://ai-blog.noorshomelab.dev/ai-ml-journey-2026/supervised-unsupervised-learning/</link><pubDate>Sun, 18 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-ml-journey-2026/supervised-unsupervised-learning/</guid><description>&lt;p&gt;Welcome back, future AI wizard! You&amp;rsquo;re doing an absolutely fantastic job navigating the exciting world of Artificial Intelligence. In our last chapters, we learned about what AI and Machine Learning are, how they learn from data, and what makes a &amp;ldquo;model&amp;rdquo; tick. You&amp;rsquo;ve already grasped some really big ideas, and that&amp;rsquo;s something to be proud of!&lt;/p&gt;
&lt;p&gt;Today, we&amp;rsquo;re going to dive into two main &amp;ldquo;styles&amp;rdquo; or &amp;ldquo;approaches&amp;rdquo; that AI uses to learn: &lt;strong&gt;Supervised Learning&lt;/strong&gt; and &lt;strong&gt;Unsupervised Learning&lt;/strong&gt;. Think of them as two different ways a student might learn a new subject. Sometimes you learn with a teacher guiding you every step of the way, and sometimes you just explore and figure things out on your own. These two styles are fundamental to almost all AI systems you encounter!&lt;/p&gt;</description></item></channel></rss>