Power and Prediction — The Disruptive Economics of Artificial Intelligence: https://
link.amazon/B0eiNi736
@kirkdborne
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Book on the Disruptive Economics of AI
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Two books on the math and concepts behind modern AI
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Why Machines Learn — The Elegant Math Behind Modern AI: https://
link.amazon/B06a5sDge
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Deep Learning Foundations and Concepts: https://
link.amazon/B07uKvTmX -
Book on Building Production AI Agents for the Web
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New release from @PacktPublishing @PacktDataML Building Production AI Agents for the Web — Design and orchestrate autonomous agents with MCP, Multi-Agent Patterns, and Harness Engineering: https://
link.amazon/B07MODeKJ What you will learn:
• Integrate LLMs into web apps and extend -
Azure OpenAI Essentials guide for generative AI applications
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Azure OpenAI Essentials — A practical guide to unlocking Generative AI-powered innovation with Azure OpenAI: https://
amzn.to/3EWMFWk 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
🔵Explore the capabilities of Azure OpenAI’s LLMs
🔵Craft end-to-end applications by utilizing the synergy of Azure -
Book on AI Agents and Harnesses with LangChain and LangGraph
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New release from @PacktPublishing >> "AI agents and Harnesses foundations — Building from ReAct Loops to Long Horizon Agent Harnesses with LangChain and LangGraph"
— Kirk Borne (@KirkDBorne) 27 septembre 2026
See it at https://t.co/1vZuzXi8wz
And check out the quoted post below to see what @AndrewYNg says about… https://t.co/FKLJw7DMkL pic.twitter.com/eGyJN93BLDNew release from @PacktPublishing >> "AI agents and Harnesses foundations — Building from ReAct Loops to Long Horizon Agent Harnesses with LangChain and LangGraph" See it at https://
amzn.to/4xHBMy1 And check out the quoted post below to see what @AndrewYNg says about -
A Python Guide Builds Machine Learning Models From Unlabeled Data
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Hands-On Unsupervised Learning Using Python — How to Build Applied Machine Learning Solutions from Unlabeled Data: https://
amzn.to/4wpvlhD -
Supervised Learning Text Covers Generalization and the Bias-Variance Tradeoff
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"Machine Learning Foundations, Volume 1: Supervised Learning" – available at https://
amzn.to/4syhPal 𝓑𝓮𝓷𝓮𝓯𝓲𝓽𝓼: Master the key concepts of supervised machine learning, including model capacity, the bias-variance tradeoff, generalization, and optimization techniques -
Neo4j Guide Combines Knowledge Graphs and Vector Search for Recommendations
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Available at https://
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 -
Tom Mitchell’s Classic Machine Learning Textbook Explains Learning From Experience
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“The field of machine learning is concerned with the question of how to construct computer programs that automatically improve with experience.”
— from the Preface of “Machine Learning” by Tom Mitchell — download PDF of this classic ML book here: https://
cs.cmu.edu/~tom/files/Mac
hineLearningTomMitchell.pdf
… In 1998, -
Deep Learning Math Workbook Teaches Machine Learning Through Puzzles
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Deep Math Fun from @PacktPublishing — hands-on Mathematics, Linear Algebra, and Machine Learning … "Deep Learning Math Workbook", with 300 puzzles — by @ProfTomYeh Check it out and get it here: https://
amzn.to/3KuhKnx