Build a modular Agentic RAG system with LangGraph, conversation memory, and human-in-the-loop query clarification using this GitHub repo:
@kirkdborne
-
Books on Graph Neural Networks and Practical Python for ML
By
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"Graph Neural Networks — Foundations, Frontiers, and Applications" at http://
amzn.to/3AAzrdv
+
Do it with Python: http://
amzn.to/3Oj2QiG
————
#DataScience #DataScientist #AI #MachineLearning #ML #DeepLearning -
Graph Machine Learning 2nd Edition — Updated Techniques and PyTorch Geometric
By
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2nd Edition — now at http://
amzn.to/45Y3LyI v/ @PacktDataML Graph Machine Learning — Latest advancements in Graph Data to build robust #MachineLearning algorithms 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Master new graph ML techniques through updated examples using PyTorch Geometric and -
Comprehensive guide to applying machine learning in finance
By
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Comprehensive guide to applying #MachineLearning in Finance: https://
github.com/mfrdixon/ML_Fi
nance_Codes
… by Matthew F. Dixon …includes some chapters (PDF) from his book. The book: http://
amzn.to/3BHA47J
————
#AlgorithmicTrading #Fintech #ML #DataScience #Statistics #Quant #DataScientist -
LLM book on Neo4j, knowledge graphs and vector search
By
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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 -
Naive Bayes classification tutorial with Python code
By
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Naive Bayes Classification, explained with Python code: https://
github.com/taspinar/siml/
blob/master/notebooks/Naive_Bayes.ipynb
…
++
Learn more in this book: http://
amzn.to/312hAHF
————
#DataScience #MachineLearning #AI #ML #Algorithms #Statistics #DataScientist #Mathematics -
Agent Commander: AI Security Layer for Enterprises
By
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Source: @EvanKirstel at https://
x.com/EvanKirstel/st
atus/2026685655942595050
… Agent Commander: The AI Security Layer Enterprises Didn't Know They Needed -
New Edition: Learn Generative AI, RAG, and AI Agents
By
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New updated 2nd Edition, by @keithbourne v/ @PacktDataML "Unlocking Data with Generative AI and RAG — Learn AI Agent Fundamentals with RAG-powered Memory, Graph-based RAG, and Intelligent Recall" Get the book here: http://
amzn.to/49zsIkb -
New book: Agentic Architectural Patterns for Multi-Agent AI Systems
By
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New release from @PacktDataML @PacktPublishing at http://
amzn.to/3MaHy8T "Agentic Architectural Patterns for Building Multi-Agent Systems: Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems" 𝕋𝕒𝕓𝕝𝕖 𝕠𝕗 ℂ𝕠𝕟𝕥𝕖𝕟𝕥𝕤: -
Agentic Design Patterns: Guide to Building Intelligent Systems
By
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"Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems" Read the Online eBook from Google at https://
docs.google.com/document/d/1rs
aK53T3Lg5KoGwvf8ukOUvbELRtH-V0LnOIFDxBryE/mobilebasic?pli=1#heading=h.pxcur8v2qagu
… Buy hardcopy version at http://
amzn.to/3IyOrPx