Cambridge University Press Mathematics for Machine Learning
Product ID: 249677389
🎓Cambridge University Press credibility
📖paperback for easy portability
📚398 pages of deep knowledge
E£ 11452
1
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Description
🎯 Unlock the math behind AI mastery — don’t get left behind!
- ACCESSIBLE YET RIGOROUS - Designed with minimal prerequisites to make complex concepts approachable without sacrificing depth.
- IDEAL FOR CAREER GROWTH - Perfect for professionals aiming to deepen their ML expertise and stay ahead in the AI revolution.
- TRUSTED ACADEMIC SOURCE - Published by Cambridge University Press, ensuring authoritative and high-quality content.
- PRACTICAL LEARNING TOOLS - Includes exercises with solutions available on GitHub to reinforce understanding and application.
- COMPREHENSIVE MATH FOUNDATION - Master linear algebra, analytic geometry, and matrix decompositions essential for machine learning.
Mathematics for Machine Learning by Cambridge University Press is a 398-page paperback textbook that delivers a clear, self-contained introduction to the essential mathematical concepts underpinning machine learning. It covers linear algebra, analytic geometry, matrix decompositions, and vectors with minimal prerequisites, making it accessible yet thorough. Highly praised for its clarity and practical examples, it includes exercises with solutions hosted on GitHub, making it a must-have resource for professionals and students eager to excel in AI and machine learning.
Specifications
| Best Sellers Rank | #13,045 in Books ( See Top 100 in Books ) #38 in Applied Mathematics #48 in Technology #71 in Computer Science |
| Customer reviews | 4.6 4.6 out of 5 stars (974) |
| Dimensions | 17.78 x 2.24 x 25.4 cm |
| Edition | 1st |
| ISBN-10 | 110845514X |
| ISBN-13 | 978-1108455145 |
| Item weight | 800 g |
| Language | English |
| Print length | 398 pages |
| Publication date | 23 April 2020 |
| Publisher | Cambridge University Press |
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