<?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>Machine Learning Systems on Negi AI Lab</title><link>https://ai.negi-lab.com/tags/machine-learning-systems/</link><description>Recent content in Machine Learning Systems on Negi AI Lab</description><image><title>Negi AI Lab</title><url>https://ai.negi-lab.com/images/og-default.png</url><link>https://ai.negi-lab.com/images/og-default.png</link></image><generator>Hugo -- 0.154.5</generator><language>ja</language><lastBuildDate>Wed, 30 Sep 2026 18:36:40 +0900</lastBuildDate><atom:link href="https://ai.negi-lab.com/tags/machine-learning-systems/index.xml" rel="self" type="application/rss+xml"/><item><title>Machine Learning Systems (cs249r_book) AIの実装からスケーリングまでを網羅したハーバード流バイブル</title><link>https://ai.negi-lab.com/posts/harvard-cs249r-ml-systems-review/</link><pubDate>Wed, 30 Sep 2026 00:00:00 +0900</pubDate><guid>https://ai.negi-lab.com/posts/harvard-cs249r-ml-systems-review/</guid><description>最新のAgentic AIやPhysical AIを含む、AIシステム構築の全工程を「理論」と「実装」の両面から学べる。。ハーバード大学の講義をベースに、...</description></item></channel></rss>