Graph Machine Learning Essentials — Foundations, Hands-On Implementation, Graph Neural Networks, PyTorch Geometric, and Applied Use Cases: https://
link.amazon/B0ipKYmke
@kirkdborne
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Graph Machine Learning Essentials Covers GNNs and PyTorch Geometric
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Graph Machine Learning Book Covers Updated Algorithms and Techniques
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Yes, graphs are everywhere! Link up with this reality! Graph Machine Learning — the latest advancements in graph data to build robust machine learning algorithms. 2nd Edition at https://
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PyTorch Guide Covers CNNs, Multimodal Models and LLM Deployment
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"Mastering PyTorch: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond" — https://
amzn.to/40IFEQR via @PacktDataML —————
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Distributed AI Systems Guide Covers Training, Inference and Production Serving
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Distributed AI Systems — A practical guide to building scalable training, inference, and serving systems for production AI: https://
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Find more best-selling AI/ML books by @PacktPublishing @PacktDataML here: https://
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Book Explores the AI Revolution in Medicine
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The AI Revolution in Medicine: https://
link.amazon/B0enkNBld -
AI Literacy Resource Targets Every Grade and Subject
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AI Literacy in Any Class — Preparing Students to Thrive in an AI Future in Any Grade Level or Content Area: https://
link.amazon/B0bh07Ubo -
Book Explores AI’s Energy Demand and Constraints on the Grid
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2027, The American AI Crisis — AI Has Outgrown The Grid. Meet The New Energy System Built To Replace It And Earn Billions: https://
link.amazon/B0frp3urq Check out $VST (NFA. DYOR) -
Resource Collects Mathematical Equations for Machine Learning
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Math equations for Machine Learning and Data Science From @mathemetica …⤵️
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Book Collection Covers Responsible AI, Deep Learning and AI for IoT
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Check out the collection of books by Amita Kapoor at https://
amzn.to/3SzcYJt Examples from @PacktPublishing :
1) Platform and Model Design for Responsible AI: https://
amzn.to/4xWiAMJ 2) Deep Learning with TensorFlow and Keras: https://
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Agent Harness Resource Progresses From ReAct Loops to Long Horizon Systems
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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" See it at https://
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