This book perfectly reflects its title "50 ML Projects to Understand LLMs". The entire book consists of exactly that: 50 projects, with tasks and subtasks pleasantly outlined, explained, and presented in a beautifully instructive and consistent style. No extraneous pedagogical
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50 ML Projects to Understand LLMs via Data Analysis and Visualization
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50 ML projects to understand LLMs — Investigate transformer mechanisms through data analysis, visualization, and experimentation: http://
amzn.to/3P8ztDt via @PacktPublishing @PacktDataML —————
#AI #GenAI #MachineLearning #DataScientist #DataScience -
Book on building AI-enhanced web apps with LLMs
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Build AI-Enhanced Web Apps: http://
amzn.to/4bgux6d
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Amazon Summary: "This book shows you step-by-step and example-by-example how to build sites and applications that take advantage of large language models (LLMs) like GPT, Claude, and Llama. Written especially for web -
The Kaggle Book 2nd Edition: Data Science Competitions and LLMs
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The Kaggle Book — Master Data Analysis and Data Science Competitions with Machine Learning, GenAI, and LLMs [2nd Ed.]: http://
amzn.to/4pxJpTC v/ @PacktDataML Table of Contents:
Introducing Data Science Competition
Organizing Data with Datasets
Work & Learn with Kaggle -
New book on AI Agents in Practice by Valentina Alto
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Another great book by @AltoValentina
, from @PacktDataML at http://
amzn.to/4p98LYl "AI Agents in Practice — Design, Implement, and Scale Autonomous #AI Systems for Production" Book Description (from Amazon): As AI agents evolve to take on complex tasks and operate -
Building AI Agents with LLMs, RAG, and Knowledge Graphs
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"Building AI Agents with LLMs, RAG, and Knowledge Graphs — A practical guide to autonomous and modern AI agents" See it at http://
amzn.to/4622k2h via @PacktDataML -
LLM book for Neo4j vector search and knowledge graphs
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Available at http://
amzn.to/4l9lLKO This LLM book is for database developers and data scientists who want to leverage knowledge graphs with Neo4j and its vector search capabilities to build intelligent search and recommendation systems. Working knowledge of Python and Java is -
Practical Guide to Building LLM and RAG Apps with LangChain and Python
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"Generative AI and RAG for Beginners: A Practical Step-by-Step Guide to Building LLM and RAG Applications with LangChain and Python" Get your copy at http://
amzn.to/3MZZ9R5 Independently published: December 2025
Print length: 255 pages -
Book: Build a Large Language Model from Scratch by Raschka
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<<💡Best Seller🚀>>
— Kirk Borne (@KirkDBorne) 15 juin 2026
Build a Large Language Model (From Scratch): https://t.co/vvahfx1VTv by @rasbt v/ @ManningBooks
—————#DataScience #DataScientist #MachineLearning #ML #DeepLearning #LLMs #AI #GenAI https://t.co/MbmiX2Olme pic.twitter.com/7My9FOhSJl<>
Build a Large Language Model (From Scratch): https://
amzn.to/3WYFNO5 by @rasbt v/ @ManningBooks —————
#DataScience #DataScientist #MachineLearning #ML #DeepLearning #LLMs #AI #GenAI -
Anthropic’s Mythos exploit: users can upgrade from Fable to stronger model
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Anthropic makes Mythos, which is a more powerful model than Fable. There was a problem that let people get from the Fable model to the more powerful one, and that's going to play out this week.