You are previewing: Mathematics for Machine Learning Ebook
Mathematics for Machine Learning Ebook
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Mathematics for Machine Learning Ebook
This self-contained textbook introduces all the relevant mathematical concepts needed to understand and use machine learning methods, with a minimum of prerequisites. Topics include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics.
| Edition | 1 |
|---|---|
| Year | 2020 |
| Format | Ebook |
| Author |
Marc Peter Deisenroth |
| Publisher |
Cambridge University Press |
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