@NFTCPS: Cambridge is releasing a wave of classic AI & ML textbooks for free, PDFs available for direct download, zero cost. I know your bookmarks are filled with hundreds of 'I'll read this later', but these are the ones you really should read. If you want to get started with machine learning without being ripped off by overpriced courses, finishing these ten books will give you a solid foundation. Here's the list in order, from introduction…

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Cambridge University has released a batch of classic AI and machine learning textbook PDFs for free, covering introductory to advanced levels, suitable for learning.

Cambridge is releasing a wave of classic AI & ML textbooks for free, PDFs available for direct download, zero cost. I know your bookmarks are filled with hundreds of 'I'll read this later', but these are the ones you really should read. If you want to get started with machine learning without being ripped off by overpriced courses, finishing these ten books will give you a solid foundation. Here's the list in order, from introductory to advanced—don't start with the hardest one: Understanding Machine Learning, covering theory and algorithms, top pick for beginners https://cs.huji.ac.il/~shais/UnderstandingMachineLearning/understanding-machine-learning-theory-algorithms.pdf… Mathematics for Machine Learning, if your math is weak, start with this https://mml-book.github.io/book/mml-book.pdf… Mathematical Analysis of Machine Learning Algorithms https://tongzhang-ml.org/lt-book/lt-book.pdf… Deep Learning Theory Principles https://arxiv.org/pdf/2106.10165 Neural Networks and Machine Learning https://arxiv.org/pdf/1901.05639 Deep Learning on Graphs https://yaoma24.github.io/dlg_book/dlg_book.pdf… The Algorithmic Perspective of Machine Learning https://people.csail.mit.edu/moitra/docs/bookexv2.pdf… Probability Theory: Theory and Examples https://sites.math.duke.edu/~rtd/PTE/PTE5_011119.pdf… Essentials of Applied Probability https://sites.math.duke.edu/~rtd/EP4A/EP4A_April2021.pdf… Advanced Data Analysis https://stat.cmu.edu/~cshalizi/ADAfaEPoV/ADAfaEPoV.pdf… Honestly, these books are not easy; don't expect to breeze through them. But if you really commit to working through two or three, it's far better than listening to others brag about AI in group chats. Save them, then open the first one tonight—don't put it off until tomorrow.
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Cambridge University has released a full set of classic AI & ML textbooks for free — PDFs available for direct download at zero cost. I know your bookmarks are full of “saved for later” links, but these are genuinely worth reading now. If you want to get into machine learning without being ripped off by overpriced courses, working through these ten books will give you a solid foundation. Here’s the recommended order, from beginner to advanced — don’t start with the hardest one:

  • Understanding Machine Learning: From Theory to Algorithms – covers theory and algorithms, best for starters
    https://cs.huji.ac.il/~shais/UnderstandingMachineLearning/understanding-machine-learning-theory-algorithms.pdf

  • Mathematics for Machine Learning – brush up on math first with this one
    https://mml-book.github.io/book/mml-book.pdf

  • Mathematical Analysis of Machine Learning Algorithms
    https://tongzhang-ml.org/lt-book/lt-book.pdf

  • The Principles of Deep Learning Theory
    https://arxiv.org/pdf/2106.10165

  • Neural Networks and Machine Learning
    https://arxiv.org/pdf/1901.05639

  • Deep Learning on Graphs
    https://yaoma24.github.io/dlg_book/dlg_book.pdf

  • An Algorithmic Perspective on Machine Learning
    https://people.csail.mit.edu/moitra/docs/bookexv2.pdf

  • Probability: Theory and Examples
    https://sites.math.duke.edu/~rtd/PTE/PTE5_011119.pdf

  • Elementary Probability for Applications
    https://sites.math.duke.edu/~rtd/EP4A/EP4A_April2021.pdf

  • Advanced Data Analysis
    https://stat.cmu.edu/~cshalizi/ADAfaEPoV/ADAfaEPoV.pdf

Let’s be honest — these books are not easy, so don’t expect to breeze through them. But if you actually commit to reading two or three, you’ll be far ahead of those just chatting about AI in group chats. Save them now, then open the first one tonight — don’t put it off until tomorrow.

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