Machine Learning Refined: Foundations, Algorithms, and Applications

Watt, Jeremy; Borhani, Reza; Katsaggelos, Aggelos K.

ISBN 10: 1107123526 / ISBN 13: 9781107123526

Published by Cambridge University Press, 2016

About this Item

Former library book with the usual stamps, stickers and labels. The item is very worn but continues to work perfectly. Signs of wear can include aesthetic issues such as scratches, dents and worn corners. All pages and the cover are intact, but the dust cover may be missing. Pages may include moderate to heavy amount of notes and highlighting,but the text is not obscured or unreadable. May NOT include discs, access code or other supplemental materials.

Seller Inventory # BVV.1107123526.A

Bibliographic Details

• Title: Machine Learning Refined: Foundations, Algorithms, and Applications
• Publisher: Cambridge University Press
• Publication Date: 2016
• Language: English
• ISBN 10: 1107123526
• ISBN 13: 9781107123526
• Binding: Hardcover
• Condition: acceptable

About this title

Synopsis

Providing a unique approach to machine learning, this text contains fresh and intuitive, yet rigorous, descriptions of all fundamental concepts necessary to conduct research, build products, tinker, and play. By prioritizing geometric intuition, algorithmic thinking, and practical real world applications in disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology, this text provides readers with both a lucid understanding of foundational material as well as the practical tools needed to solve real-world problems. With in-depth Python and MATLAB/OCTAVE-based computational exercises and a complete treatment of cutting edge numerical optimization techniques, this is an essential resource for students and an ideal reference for researchers and practitioners working in machine learning, computer science, electrical engineering, signal processing, and numerical optimization.  Additional resources including supplemental discussion topics, code demonstrations, and exercises can be found on the official textbook website at mlrefined.com

About the Author

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.