<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ML_basics on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/ml_basics/</link><description>Recent content in ML_basics on English AI Terms Dictionary</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 18 Jul 2026 11:44:44 +0000</lastBuildDate><atom:link href="https://terms-en.ai-term-hub.com/en/tags/ml_basics/index.xml" rel="self" type="application/rss+xml"/><item><title>Unsupervised Learning</title><link>https://terms-en.ai-term-hub.com/en/terms/unsupervised_learning/</link><pubDate>Sat, 18 Jul 2026 09:43:02 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/unsupervised_learning/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Unsupervised learning identifies hidden structures, clusters, or distributions within raw data autonomously. Common methods include clustering, dimensionality reduction, and generative modeling. It is essential for exploratory data analysis and feature extraction when labeled datasets are scarce or expensive. By finding intrinsic relationships, these models help organize information and prepare data for downstream supervised tasks.&lt;/p>
&lt;h3 id="summary">Summary&lt;/h3>
&lt;p>A machine learning technique where models learn patterns from unlabeled data without explicit guidance or correct answers.&lt;/p></description></item></channel></rss>