<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Beginner on AI Charcha</title><link>https://www.aicharcha.com/tags/beginner/</link><description>Recent content in Beginner on AI Charcha</description><image><title>AI Charcha</title><url>https://www.aicharcha.com/images/aicharcha-logo-refresh-1.svg</url><link>https://www.aicharcha.com/images/aicharcha-logo-refresh-1.svg</link></image><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 22 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.aicharcha.com/tags/beginner/index.xml" rel="self" type="application/rss+xml"/><item><title>Launching Into Machine Learning: A Practical Learning Path</title><link>https://www.aicharcha.com/guides/launching-into-machine-learning-learning-path/</link><pubDate>Mon, 22 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/guides/launching-into-machine-learning-learning-path/</guid><description>A beginner-friendly learning path for launching into machine learning, covering data quality, EDA, supervised learning, AutoML, BigQuery ML, evaluation, and sampling.</description></item></channel></rss>