Mathematics for Machine Learning
Marc Peter Deisenroth, A. Aldo Faisal, Cheng Soon Ong
- License
- Free to download for personal use (© Cambridge University Press)
- Source
- mml-book.com (official)
Description
The mathematical foundations behind machine learning, taught for ML rather than in the abstract: linear algebra, analytic geometry, matrix decompositions, vector calculus, probability, and optimization, connected to real ML models.
Book information
- Language
- English
- Category
- Machine Learning
- Level
- Advanced
- Pages
- 398
- Published
- 2020
- Format
- License
- Free to download for personal use (© Cambridge University Press)
- Source
- mml-book.com (official)
Topics
License
Official Free Distribution — Free to download for personal use (© Cambridge University Press) (license text ↗)
This resource is listed with a link to its official source; TLP does not host the file.
The free PDF is explicitly for personal use, not for redistribution — TLP links to the official file.
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