<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ML Concepts on AI VOID</title><link>https://ai-blog.noorshomelab.dev/categories/ml-concepts/</link><description>Recent content in ML Concepts 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/categories/ml-concepts/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter 3: Building Brains: The Concept of a Model</title><link>https://ai-blog.noorshomelab.dev/ai-ml-journey-2026/concept-of-a-model/</link><pubDate>Sun, 18 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ai-ml-journey-2026/concept-of-a-model/</guid><description>&lt;h2 id="chapter-3-building-brains-the-concept-of-a-model"&gt;Chapter 3: Building Brains: The Concept of a Model&lt;/h2&gt;
&lt;p&gt;Welcome back, future AI explorer! In our last chapter, we embarked on an exciting journey into the world of data. We learned that data is the raw material, the stories, the facts that fuel Artificial Intelligence and Machine Learning. Without data, AI would be like a chef with no ingredients – unable to create anything delicious or useful.&lt;/p&gt;
&lt;p&gt;Now, imagine you&amp;rsquo;re a chef who has just gathered all the ingredients for a new dish. What&amp;rsquo;s the next step? You need a recipe, right? A set of instructions, techniques, and knowledge that tells you how to turn those raw ingredients into a fantastic meal. In the world of AI, this &amp;ldquo;recipe&amp;rdquo; or &amp;ldquo;learned knowledge&amp;rdquo; is precisely what we call a &lt;strong&gt;Model&lt;/strong&gt;.&lt;/p&gt;</description></item></channel></rss>