AI Value Creators — Beyond the Generative AI User Mindset: http://
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A Book Examines Strategic Integration of AI in Business
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Large Language Models Take on Mathematical Reasoning
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The Mathematics of Large Language Models — A Readable Guide to LLMs, Transformers, Diffusion, Neural Networks, and Generative AI: https://
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An Optimization Textbook Covers Foundations Used in Machine Learning
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New release! >> “Optimization — A Bootcamp for Machine Learning, Inverse Problems, and Control” Check it out at https://
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A Textbook Introduces the Foundations of Machine Learning
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Machine Learning Refined — Foundations, Algorithms, and Applications (with 100 in-depth coding exercises in Python): http://
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Open Textbook Explains Engineering and Implementation of Machine Learning Systems
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Machine Learning Systems — The Principles & Practices of Engineering Artificially Intelligent Systems: http://
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A Mathematical Guide to Deep Learning
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Mathematical Theory of Deep Learning [download 333-page PDF]: http://
arxiv.org/abs/2407.18384 *UPDATED*
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The Alignment Problem Examines Machine Learning and Human Values
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The Alignment Problem — Machine Learning and Human Values: http://
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Machine Learning Book Explains Concepts, Algorithms and Models
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Machine Learning and Artificial Intelligence — Concepts, Algorithms and Models: http://
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Python Guide Introduces Supervised and Unsupervised Machine Learning
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AI Programming with Python — From Zero to Hero: http://
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Kaggle Book Covers Competitions With Machine Learning and LLMs
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The Kaggle Book — Master Data Analysis and Data Science Competitions with Machine Learning, GenAI, and LLMs [2nd Ed.]: http://
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Introducing Data Science Competition
Organizing Data with Datasets
Work & Learn with Kaggle