Deisenroth, Marc Peter
Mathematics for Machine Learning
- ISBN 13:
- 9781108455145
- author:
- Deisenroth, Marc Peter
- format:
- Paperback / softback
- publisher:
- Cambridge University Press
- language:
- English
- Publication Year:
- 2020
- Pages:
- 398
- Dimensions:
- 25.2 x 17.7 x 1.8 centimetres (0
- Genre:
- Computers,Computer Science, ,
- Condition:
- New
- Availability:
- Item usually sent within 10 working days
Description
Mathematics for Machine Learning provides a comprehensive introduction to the mathematical tools required to understand machine learning. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing key concepts with minimal prerequisites. It covers essential topics such as linear algebra, optimization, probability, and statistics, and uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models, and support vector machines. The book includes worked examples and exercises to test understanding, making it an ideal resource for students and professionals looking to build a strong foundation in machine learning. Programming tutorials are also available on the book's website, providing additional support for those looking to apply mathematical concepts in practice. With its clear and concise approach, Mathematics for Machine Learning is an essential resource for anyone looking to learn the mathematical foundations of machine learning.
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