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Synopsis
A new, intuitive approach to machine learning, covering fundamental concepts and real-world applications, with practical MATLAB-based exercises.
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About the Authors
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.
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Machine Learning Refined: Foundations, Algorithms, and Applications
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Machine Learning Refined: Foundations, Algorithms, and Applications
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Machine Learning Refined: Foundations, Algorithms, and Applications
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Machine Learning Refined: Foundations, Algorithms, and Applications
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