
"Graph Neural Networks — Foundations, Frontiers, and Applications" at https://
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"Graph Neural Networks — Foundations, Frontiers, and Applications" at https://
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Do it with Python: https://
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AI Mathematics Unlocked: The Essential Math Foundations Every AI and Machine Learning Practitioner Must Know Available at https://
link.amazon/B0gZA1RO0

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Supercomputing for AI — Foundations, Architectures, and Scaling Deep Learning. [804-page masterpiece] Get it: https://
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Why Machines Learn — The Elegant Math Behind Modern AI: https://
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Deep Learning Foundations and Concepts: https://
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Large Language Models — From Foundations to Production AI Applications [2nd Edition]: https://
link.amazon/B00XKggpm

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Practical LLM Evaluation for Production Systems — Measure, monitor, and improve AI system reliability across training and inference https://
link.amazon/B0iPyNtoX from @PacktPublishing @PacktDataML

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❤️ Give Tabular Data some love! ❤️ Excellent book from @ManningBooks >> "Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI," by @MarkRyanMkm & @lucamassaron Get it here: https://
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Mastering NLP From Foundations to Agents — Build AI Agents through Agentic Automation and RAG Workflows with Python: https://
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Are small language models the future? Some AI leaders say “yes”. "How to Build and Fine‐Tune a Small Language Model: A Step-by-Step Guide for Beginners, Researchers, and Non-Programmers" Available at https://
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Claude AI for Beginners — Complete Step-by-Step Guide to Prompt Engineering, Content Creation, Automation and Productivity: https://
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