The Mathematics of Artificial Intelligence Agents — A Guide to Decisions, Planning, Memory, Tools, Learning, and Cooperation: https://
link.amazon/B066Cs0ZQ
@kirkdborne
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An Agent Mathematics Guide Explains Decisions Memory and Cooperation
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A Guide Applies Agents to Penetration Testing Workflows
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Agentic AI for Offensive Cybersecurity — Build and Automate Smarter Penetration Testing Workflows using AI-driven Agents: https://
amzn.to/3SAceDK via @PacktPublishing -
An RL Book Covers Industrial Agents and Decision Processes
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Reinforcement Learning — Industrial Applications of Intelligent Agents: https://
link.amazon/B00Bo8Cnk Practical book with these benefits:
• Learn what RL is and how the algorithms help solve problems • Become grounded in RL fundamentals including Markov decision processes, dynamic -
A Text Teaches Machine Learning for Scientists and Engineers
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Download 348-page PDF eBook >> Machine Learning for Scientists and Engineers: https://
smlbook.org/book/sml-book-
draft-latest.pdf
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#DataScience #DataScientist #ML #Algorithms #Mathematics -
A Stanford Appendix Explains Hidden Markov Models
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17-page PDF explains Hidden Markov Models (HMM): https://
web.stanford.edu/~jurafsky/slp3
/A.pdf
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A Foundations Text Explains Large Language Models
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Foundations of Large Language Models: https://
arxiv.org/abs/2501.09223 [download 315-page PDF] -
A Free Python Resource Demonstrates 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 -
A Generative AI Primer Provides Intuitive Mathematical Foundations
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The Little Book of Generative AI Foundations — Intuitive Mathematical Primer: https://
arxiv.org/pdf/2605.29713 [download 195-page PDF] -
An Updated Mathematical Theory of Deep Learning Text Is Available
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[Download 333-page PDF. Updated version.]
Mathematical Theory of Deep Learning: https://
arxiv.org/abs/2407.18384 -
A Deep Learning Text Covers Mathematics Implementation and Theory
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"Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory" Download 737-page PDF at https://
arxiv.org/pdf/2310.20360