Understanding Deep Learning — 541-page PDF eBook and 68 coding exercises with Python code notebooks that cover all the topics in the book: https://
udlbook.github.io/udlbook/ …or buy the book here: https://
amzn.to/4qwof9k
@kirkdborne
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Deep Learning eBook with 68 Python Coding Exercises
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Free 135-page PDF of Python Machine Learning Projects
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[Free 135-page PDF Download] Python Machine Learning Projects: https://
assets.digitalocean.com/books/python/m
achine-learning-projects-python.pdf
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#DataScience #ML #DataScientist -
Kaggle Book on Machine Learning, GenAI and LLMs
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🏆The Kaggle Book — Master Data Analysis and Data Science Competitions with Machine Learning, GenAI, and LLMs [2nd Ed.]: https://
amzn.to/4pxJpTC Table of Contents:
🔶Introducing Data Science Competition
🔷Organizing Data with Datasets
🔶Work & Learn with Kaggle Notebooks -
Book on Programming Game AI Techniques
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Programming Game AI by Example: https://
amzn.to/3SIVFpk Amazon Summary:
“This book provides a comprehensive practical introduction to the AI techniques used by the game development industry, leading the reader through the process of designing, programming, and implementing -
Reinforcement Learning and Optimal Control book promotion
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Reinforcement Learning and Optimal Control: https://
amzn.to/4iprVIE Amazon Summary: "The book discusses solution methods that rely on approximations to produce suboptimal policies with adequate performance. These methods are known by several essentially equivalent names: -
AI for Games book, 3rd Edition
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AI for Games: https://
link.amazon/B0bm1Xi1M [3rd Edition]
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Amazon Summary: “AI is an integral part of every video game and this book helps game developers keep up with the constantly evolving technological advances to create robust AI. The authors draw on their considerable -
Reinforcement Learning foundational book, 2nd edition
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Reinforcement Learning foundational book (2nd edition of this classic mathematical textbook): https://
amzn.to/3UtbeAa
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#AI #MachineLearning #ML #Mathematics #Gamification #algorithms -
Andrew Ng: Prompting Will Die, Harnesses Will Replace It
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Nearly everything associated with AI Agents is evolving rapidly! "Prompting will die in 7 months. Harnesses are what will replace it." — says @AndrewYNg Learn about Harness Engineering now… ⤵️
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Generative AI Foundations: Intuitive Mathematical Primer PDF
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The Little Book of Generative AI Foundations — Intuitive Mathematical Primer: https://
arxiv.org/pdf/2605.29713 [download 195-page PDF] -
Graphs as control plane for AI agents
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Graphs don’t replace AI Agents. They are the control plane. What does that mean? This simple description elicits a better understanding: • Agents generate decisions.
• Graphs govern execution. The post below provides a comprehensive explanation.