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(860-page PDF) INTRODUCTION to Probabilistic Machine Learning: http://
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"MCMC from Scratch — Practical Introduction to Markov Chain Monte Carlo" — available at https://
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This is a stellar AI / Python educational resource: http://
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AI, IoT, and The Future of Things https://
youtube.com/live/714v6zUZO
X0?si=58vysF6vfA1-O50Y
… This episode of The Technology Revolution (featuring @ClearBlade
) covers:
The rise of local inferencing
Why Edge is where AI succeeds
How digital twins & real-time decision-making reshape critical industries
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Massive 774-page book by @rasbt "Machine Learning with PyTorch and Scikit-Learn: Develop ML and Deep Learning models with Python” at http://
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2nd Edition, 746 pages, massive! Modern Computer Vision with PyTorch Deep Learning — from practical fundamentals to advanced applications and Generative AI: http://
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Understand the inner workings of various neural
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Artificial Intelligence — A Modern Approach http://
amzn.to/3iO2yjs 4th Edition offers new or expanded coverage of machine learning, deep learning, transfer learning, multi-agent systems, robotics, natural language processing, causality, probabilistic programming, privacy,
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Explore 4 amazing books on AI, LLMs, Gen AI by @AltoValentina v/ @PacktDataML AI Agents in Practice: http://
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amzn.to/4iNimjQ Modern Gen AI with ChatGPT
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Artificial Intelligence of Things (AIoT) → “Hands-On AI for IoT” — Expert Machine Learning & Deep Learning techniques for developing smarter IoT systems [2nd Ed.]: http://
amzn.to/3YAu6hS 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Leverage the power of Python libraries such as TensorFlow and
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Books by @burkov Machine Learning Engineering: http://
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Hundred-Page Machine Learning Book: http://
amzn.to/3bFhtbF
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Hundred-Page Language Models Book — Hands-on with PyTorch: http://
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