Machine Learning for Engineers - Osvaldo Simeone

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Machine Learning for Engineers

By: Osvaldo Simeone

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Hardcover | 3 November 2022

At a Glance

Hardcover
602 Pages

Edition Type
New edition

Dimensions(cm)
25.4 x 20.32 x 3.33

Hardcover

RRP $113.95

$109.75

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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.

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