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Mathematics for Machine Learning
The companion book for the math behind machine learning.
Day 43 since launch · Launched 25 August 2026
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What is Mathematics for Machine Learning?
Mathematics for Machine Learning (mml-book) is a free book and companion site covering the essential math for ML — linear algebra, analytic geometry, matrix decompositions, vector calculus, probability and optimization — with exercises and tutorials.
Pros
- Free PDF of a published Cambridge book
- Exactly the math ML needs, nothing extra
- Exercises and notebook companions
Cons
- Math-first, little coding
- Requires steady study
Who should use Mathematics for Machine Learning
Learners who want the mathematical foundations before or alongside ML courses.
Who may not need it
People who want to jump straight into applied coding.
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