10 FREE Books on AI & ML from Cambridge University
Master machine learning with essential resources covering theory, algorithms, and applications, empowering you to innovate in the data-driven world.
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Understanding Machine Learning https://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/understanding-machine-learning-theory-algorithms.pdf Mathematics for Machine Learning https://mml-book.github.io/book/mml-book.pdf Mathematical Analysis of ML Algorithms https://tongzhang-ml.org/lt-book/lt-book.pdf The Principles of Deep Learning Theory https://arxiv.org/pdf/2106.10165 Machine Learning with Neural Networks https://arxiv.org/pdf/1901.05639 Deep Learning on Graphs https://yaoma24.github.io/dlg_book/dlg_book.pdf Algorithmic Aspects of Machine Learning https://people.csail.mit.edu/moitra/docs/bookex.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.pdf Advanced Data Analysis https://stat.cmu.edu/~cshalizi/ADAfaEDA/ADAfaEDA.pdf
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