<?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>Google-Cloud on AI Charcha</title><link>https://www.aicharcha.com/tags/google-cloud/</link><description>Recent content in Google-Cloud 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>Sun, 21 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.aicharcha.com/tags/google-cloud/index.xml" rel="self" type="application/rss+xml"/><item><title>Feature Engineering for Machine Learning: A Practical Learning Guide</title><link>https://www.aicharcha.com/guides/feature-engineering-for-machine-learning/</link><pubDate>Sun, 21 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/guides/feature-engineering-for-machine-learning/</guid><description>A beginner-friendly guide to feature engineering for machine learning, covering what features are, why they matter, common feature types, and a practical workflow.</description></item><item><title>Vertex AI Feature Store Guide: Concepts, Benefits, and Workflow</title><link>https://www.aicharcha.com/guides/vertex-ai-feature-store-guide/</link><pubDate>Sun, 21 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.aicharcha.com/guides/vertex-ai-feature-store-guide/</guid><description>A practical guide to Vertex AI Feature Store concepts, including featurestores, entity types, features, ingestion, batch serving, online serving, and training-serving consistency.</description></item></channel></rss>