--- title: MUST READ: Machine Learning for Network and Cloud... description: Javier Antich, author of the AI/ML in Networking webinar, has published 'Machine Learning for Network and Cloud Engineers' in paperback and Kindle formats. The... canonical: https://daily.dev/posts/must-read-machine-learning-for-network-and-cloud-engineers-ipspace-net-blog-eljb9tadg twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: MUST READ: Machine Learning for Network and Cloud Engineers « ipSpace.net blog | daily.dev og:description: Javier Antich, author of the AI/ML in Networking webinar, has published 'Machine Learning for Network and Cloud Engineers' in paperback and Kindle formats. The... og:url: https://daily.dev/posts/must-read-machine-learning-for-network-and-cloud-engineers-ipspace-net-blog-eljb9tadg og:image: https://api.daily.dev/og/posts/eLjb9TaDg.png og:image:alt: MUST READ: Machine Learning for Network and Cloud Engineers « ipSpace.net blog og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # MUST READ: Machine Learning for Network and Cloud Engineers « ipSpace.net blog **[ipSpace.net Blog](https://daily.dev/sources/ipspace)** · 3 min read · 0 upvotes · 0 comments ## Summary Javier Antich, author of the AI/ML in Networking webinar, has published 'Machine Learning for Network and Cloud Engineers' in paperback and Kindle formats. The book covers AI/ML technologies with a critical, practical lens tailored for network and cloud engineers. It includes nearly a dozen hands-on scenarios — from detecting network anomalies and clustering devices to forecasting subscriber counts and analyzing router configurations using NLP. A companion network simulation tool and all source code are published on GitHub for readers to experiment with. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Questions this post answers ### What hands-on scenarios are covered in the Machine Learning for Network and Cloud Engineers book? The book includes nearly a dozen practical scenarios: detecting outliers and anomalies in network behavior, clustering (identifying what devices are needed), forecasting (predicting subscriber counts), and natural language processing to analyze router configurations. A custom network simulation tool accompanies the scenarios, with all source code published on GitHub so readers can run them with minimal setup beyond installing required software. _Network engineers exploring ML use cases for their infrastructure find the latest resources on daily.dev._ ## Similar posts on daily.dev - [Book Review: The Ultimate AI Guide for Linux Engineers](https://daily.dev/posts/book-review-the-ultimate-ai-guide-for-linux-engineers-fbvfdy1q4) · It's Foss · 3 upvotes · 0 comments - [AI Engineering for Developers \| Blog](https://daily.dev/posts/ai-engineering-for-developers-blog-sdkfkndwm) · Programming Digest · 1 upvotes · 0 comments - [Book: Artificial Intelligence and the Evolution of Machine Learning](https://daily.dev/posts/book-artificial-intelligence-and-the-evolution-of-machine-learning-zrkvnpmwo) · Medium · 3 upvotes · 0 comments - [GitHub - dreddnafious/thereisnospoon: A machine learning primer built from first principles. For engineers who want to reason about ML systems the way they reason about software systems.](https://daily.dev/posts/github---dreddnafious-thereisnospoon-a-machine-learning-primer-built-from-first-principles-for-eng-33rfn89gp) · Hacker News · 0 upvotes · 0 comments --- Tags: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning), [#networking](https://daily.dev/tags/networking) [View this post on daily.dev](https://daily.dev/posts/must-read-machine-learning-for-network-and-cloud-engineers-ipspace-net-blog-eljb9tadg) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"MUST READ: Machine Learning for Network and Cloud Engineers « ipSpace.net blog","url":"https://daily.dev/posts/must-read-machine-learning-for-network-and-cloud-engineers-ipspace-net-blog-eljb9tadg","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/must-read-machine-learning-for-network-and-cloud-engineers-ipspace-net-blog-eljb9tadg"},"datePublished":"2026-08-11T08:55:59.590Z","dateModified":"2026-08-11T09:37:49.631Z","description":"Javier Antich, author of the AI/ML in Networking webinar, has published 'Machine Learning for Network and Cloud Engineers' in paperback and Kindle formats. 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