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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Graph Machine Learning Guide Explores Robust Algorithms and New Techniques
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AI Book Series Covers Deep Learning Frameworks and Generative Methods
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🚀Mastering the AI Revolution, series of books: 🔥Deep Learning and AI Superhero — Mastering TensorFlow, Keras, and PyTorch: https://
link.amazon/B0fg2nbB2 🔥🔥Machine Learning Hero — Master Data Science with Python Essentials: https://
link.amazon/B0gUHNwTV 🔥🔥🔥Generative Deep Learning — -
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://
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Language Models Textbook Offers Hands On PyTorch Learning
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The Hundred-Page Language Models Book — Hands-on with PyTorch: https://
amzn.to/4sJl7YC by @burkov -
Graph Machine Learning Book Covers GNNs and PyTorch Geometric
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Graph Machine Learning Essentials — Foundations, Hands-On Implementation, Graph Neural Networks, PyTorch Geometric, and Applied Use Cases: https://
link.amazon/B0ipKYmke -
Illustrated AI Guide Teaches Neural Networks With PyTorch
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Illustrated Guide to Neural Networks and AI — With hands-on examples in PyTorch: https://
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Python Guide Covers Automation and Building AI Powered Applications
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Python for Real Life — Code, Automate, and Build AI Tools — An All-in-One Guide to Learning Python Programming, Solving Real Problems, and Creating AI-Powered Apps (from the “Python for Real Life” Series) Get it here: https://
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Textbook Connects Reinforcement Learning With Approximate Optimal Control
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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: -
Reinforcement Learning Book Covers Industrial Applications of Intelligent Agents
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💥Mathematics & AI for Industry🚀 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 -
Book Examines Why AI and Analytics Projects Fail in Practice
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Why Data Science Projects Fail — The Harsh Realities of Implementing AI and Analytics, without the Hype (Chapman & Hall/CRC Data Science Series): https://
link.amazon/B0431tl40 AMAZON SUMMARY: The field of artificial intelligence, data science, and analytics is crippling itself.