Machine Learning Refined by Jeremy Watt

Machine Learning Refined by Jeremy Watt

This book provides a fresh, intuitive approach to machine learning, detailing the fundamental concepts necessary for building projects and conducting research. With colour illustrations, practical real-world examples, and MATLAB-based exercises, it is an essential resource for students and an ideal reference for researchers and practitioners in the field.

Jeremy Watt received his PhD in Computer Science and Electrical Engineering from Northwestern University, Illinois. His research interests lie in machine learning and computer vision, as well as numerical optimization. Reza Borhani received his PhD in Computer Science and Electrical Engineering from Northwestern University, Illinois. His research interests lie in the design and analysis of algorithms for problems in machine learning and computer vision. Aggelos K. Katsaggelos is a professor and holder of the AT&T chair in the Department of Electrical Engineering and Computer Science at Northwestern University, Illinois, where he also heads the Image and Video Processing Laboratory.

SKU	Unavailable
ISBN 13	9781107123526
ISBN 10	1107123526
Title	Machine Learning Refined
Author	Jeremy Watt
Condition	Unavailable
Binding Type	Hardback
Publisher	Cambridge University Press
Year published	2016-09-08
Number of pages	298
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.