Items related to Machine Learning Refined: Foundations, Algorithms,...
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
"synopsis" may belong to another edition of this title.
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.
"About this title" may belong to another edition of this title.
Buy New
View this item
US$ 108.11
US$ 13.50 shipping from United Kingdom to U.S.A.
Destination, rates & speedsSearch results for Machine Learning Refined: Foundations, Algorithms,...
Seller Image
Machine Learning Refined: Foundations, Algorithms, and Applications
Published by
Cambridge University Press, 2016
ISBN 10: 1107123526
ISBN 13: 9781107123526
Used
Hardcover
Seller: WeBuyBooks, Rossendale, LANCS, United Kingdom
Seller rating 5 out of 5 stars
Condition: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind. Seller Inventory # wbs1834880768
Quantity: 1 available
Stock Image
Machine Learning Refined: Foundations, Algorithms, and Applications
Published by
Cambridge University Press, 2016
ISBN 10: 1107123526
ISBN 13: 9781107123526
Used
Hardcover
Seller: Labyrinth Books, Princeton, NJ, U.S.A.
Seller rating 5 out of 5 stars
Condition: Very Good. Seller Inventory # 214477
Quantity: 5 available
Stock Image
Machine Learning Refined: Foundations, Algorithms, and Applications
Published by
Cambridge University Press, 2017
ISBN 10: 1107123526
ISBN 13: 9781107123526
Used
Hardcover
Seller: Anybook.com, Lincoln, United Kingdom
Seller rating 5 out of 5 stars
Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. Dust jacket in good condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:9781107123526. Seller Inventory # 9860938
Quantity: 1 available
Stock Image
Machine Learning Refined: Foundations, Algorithms, and Applications
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: Brand New. 1st edition. 298 pages. 10.00x7.00x0.50 inches. In Stock. Seller Inventory # 1107123526
Quantity: 1 available