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Cambridge University Press Machine Learning for Engineers

Name: Machine Learning for Engineers
Brand: Cambridge University Press

Information Systems

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Description

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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Machine Learning for Engineers

Product type: ABIS BOOK

Brand: Cambridge University Press

Product Specifications

Brand: Cambridge University Press
Format: hardcover
ASIN: 1316512827
Category: Books > Subjects > Computing & Internet > Computer Science > Information Systems
Domain: Amazon UK
Release Date: 03 November 2022
Listed Since: 13 January 2022

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Cambridge University Press Machine Learning for Engineers

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