Understanding Deep Learning — 541-page PDF eBook and 68 coding exercises with Python code notebooks that cover all the topics in the book: http://
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@kirkdborne
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Understanding Deep Learning — 541‑page eBook and Code Notebooks
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Mathematical Theory of Deep Learning — arXiv Paper and Book
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Mathematical Theory of #DeepLearning [download 333-page PDF]: http://
arxiv.org/abs/2407.18384 *UPDATED*
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See also this book: http://
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Architecting AI Software Systems: Designing Scalable AI Integration
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"Architecting AI Software Systems: Crafting robust and scalable AI systems for modern software development" at http://
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Practical Machine Learning for Streaming Data with Python
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#MachineLearning for Streaming Data with #Python — build practical online Machine Learning solutions: http://
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Fundamentals of Machine Learning and Unsupervised Learning Concepts
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Data Without Labels — Models and Algorithms for Practical Unsupervised #MachineLearning: http://
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Data cleaning for structured and -
New Machine Learning and AI Book for Tabular Data Analysis
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Excellent book from @ManningBooks >> #MachineLearning for Tabular Data: XGBoost, Deep Learning, and #AI, by @MarkRyanMkm & @lucamassaron Get it here: http://
amzn.to/41J8WA6 • Master XGBoost
• Apply deep learning to tabular data
• Deploy models locally and in the cloud
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Build a Text-to-Image Generator from Scratch Using Transformers and Diffusion
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Hot New Release >> Build a Text-to-Image Generator (from Scratch), with transformers and diffusions: http://
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Design Strategies for Enterprise LLM Development
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"LLMs in Enterprise: Design strategies, patterns, and best practices for large language model development" at http://
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Apply design patterns to integrate LLMs into enterprise applications for efficiency and -
Educational resource on implementing and deploying AI agents
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AI Agents in Action: http://
amzn.to/44kbHsL v/ @ManningBooks Gain hands-on experience in these areas: Understand & implement AI agent behavior patterns Design & deploy production-ready intelligent agents Leverage the OpenAI Assistants API and complementary tools -
New Book on Agentic Architectural Patterns and Multi-Agent Systems
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New release from @PacktDataML @PacktPublishing "Agentic Architectural Patterns for Building Multi-Agent Systems: Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems" See it at https://
amzn.to/3MaHy8T 𝕋𝕒𝕓𝕝𝕖 𝕠𝕗