Synopsis
This self-contained introduction contains all students need to start applying machine learning principles to real-world engineering problems.
"synopsis" may belong to another edition of this title.
About the Author
Osvaldo Simeone is a Professor of Information Engineering at King's College London, where he directs King's Communications, Learning & Information Processing (KCLIP) lab. He is a Fellow of the IET and IEEE.
"About this title" may belong to another edition of this title.
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Machine Learning for Engineers
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Cambridge University Press, 2022
ISBN 10: 1316512827
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Machine Learning for Engineers
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Machine Learning for Engineers
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Machine Learning for Engineers
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Machine Learning for Engineers (Hardcover)
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Hardcover. Condition: new. Hardcover. 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. Designed with engineers in mind, this self-contained book will equip students with everything they need to apply machine learning principles to real-world engineering problems. With reproducible examples using Matlab, and lecture slides and solutions for instructors, this is the ideal introduction for engineering students of all disciplines. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781316512821
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Machine Learning for Engineers
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Machine Learning for Engineers
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Machine Learning for Engineers
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MACHINE LEARNING FOR ENGINEERS
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