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  • The Hundred-Page Machine Learning Book

    (By Andriy Burkov)

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    Author Andriy Burkov
    “Book Descriptions: Concise and to the point — the book can be read during a week. During that week, you will learn almost everything modern machine learning has to offer. The author and other practitioners have spent years learning these concepts.

    Companion wiki — the book has a continuously updated wiki that extends some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources.

    Flexible price and formats — choose from a variety of formats and price options: Kindle, hardcover, paperback, EPUB, PDF. If you buy an EPUB or a PDF, you decide the price you pay!

    Read first, buy later — download book chapters for free, read them and share with your friends and colleagues. Only if you liked the book or found it useful in your work, study or business, then buy it.”

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    Aurélien Géron

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    Deep Learning

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    Ian Goodfellow

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    François Chollet

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    Understanding Distributed Systems: What every developer should know about large distributed applications

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    Build a Large Language Model (From Scratch)

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    Staff Engineer: Leadership Beyond the Management Track

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    Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI

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    Code: The Hidden Language of Computer Hardware and Software

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    Charles Petzold

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    Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

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