<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ML Fundamentals on English AI Terms Dictionary</title><link>https://terms-en.ai-term-hub.com/en/tags/ml-fundamentals/</link><description>Recent content in ML Fundamentals 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-fundamentals/index.xml" rel="self" type="application/rss+xml"/><item><title>Pattern Recognition</title><link>https://terms-en.ai-term-hub.com/en/terms/pattern_recognition/</link><pubDate>Sat, 18 Jul 2026 10:10:21 +0000</pubDate><guid>https://terms-en.ai-term-hub.com/en/terms/pattern_recognition/</guid><description>&lt;h2 id="definition">Definition&lt;/h2>
&lt;p>Pattern Recognition is a branch of artificial intelligence and statistics concerned with identifying regularities in data. It involves classifying input data into predefined categories based on features extracted from the raw information. Common techniques include clustering, classification, and density estimation. Applications range from image and speech recognition to fraud detection and medical diagnosis. The core challenge lies in distinguishing meaningful signals from noise and generalizing learned patterns to unseen data effectively.&lt;/p></description></item></channel></rss>