Math for AI
The math behind artificial intelligence: vectors and matrices, gradients, probability and optimization, focused on machine learning.
25 free sites · 24 in English.
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Free book by Deisenroth, Faisal and Ong.
For: CollegeAdvanced
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How neural networks learn, animated.
For: Middle & high schoolCollegeGeneral public
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Course materials for Stanford’s probability course.
For: CollegeAdvanced
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Classic statistical learning textbook, free as a PDF.
For: CollegeAdvanced
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Math appendix for deep learning.
For: CollegeAdvanced
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Part I covers the math you need.
For: CollegeAdvanced
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Matrix calculus explained for AI.
For: CollegeAdvanced
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Gilbert Strang’s course.
For: CollegeAdvanced
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Linear algebra summary for machine learning.
For: CollegeAdvanced
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Probability summary for machine learning.
For: CollegeAdvanced
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Free convex optimization textbook.
For: CollegeAdvanced
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Free books on probabilistic machine learning.
For: Advanced
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The classic, free as a PDF.
For: Advanced
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Free information theory textbook.
For: Advanced
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Free book with R and Python labs.
For: College
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Vectors and matrices from scratch.
For: Middle & high schoolCollege
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Gradients and partial derivatives.
For: Middle & high schoolCollege
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Linear algebra with interactive figures.
For: CollegeAdvanced
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Statistics and machine learning, clearly explained.
For: CollegeGeneral public
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Probability and statistics, visually.
For: CollegeAdvanced
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Free book with math and figures.
For: CollegeAdvanced
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MIT short course.
For: CollegeAdvanced
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Free ML theory book by Hardt and Recht.
For: Advanced
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Free book on high-dimensional math.
For: Advanced
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Concise free notes from Berkeley.
For: CollegeAdvanced