Machine Learning for Engineers

Language: English

Published by Cambridge University Press, GB, 2022

1316512827 / 9781316512821

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This self-contained introduction to machine learning, designed from the start with engineers in mind, will equip students with everything they need to start applying machine learning principles and algorithms to real-world engineering problems. With a consistent emphasis on the connections between estimation, detection, information theory, and optimization, it includes: an accessible overview of the relationships between machine learning and signal processing, providing a solid foundation for further study; clear explanations of the differences between state-of-the-art techniques and more classical methods, equipping students with all the understanding they need to make informed technique choices; demonstration of the links between information-theoretical concepts and their practical engineering relevance; reproducible examples using Matlab, enabling hands-on student experimentation. Assuming only a basic understanding of probability and linear algebra, and accompanied by lecture slides and solutions for instructors, this is the ideal introduction to machine learning for engineering students of all disciplines.…

Seller Inventory # LU-9781316512821

Title
Machine Learning for Engineers
Author
Osvaldo Simeone
Publisher
Cambridge University Press, GB
Publication year
2022
Condition
New
Binding
Hardback
Language
English
ISBN 10
1316512827
ISBN 13
9781316512821
Item weight
1,470 grams

Rarewaves.com USA

London, London, United Kingdom

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