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Product Information
With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for graduate courses on machine learning and for individual reference and self-study.Product Identifiers
PublisherCambridge University Press
ISBN-139781108480727
eBay Product ID (ePID)4046430700
Product Key Features
Number of Pages594 Pages
LanguageEnglish
Publication NameMachine Learning Refined: Foundations, Algorithms, and Applications
Publication Year2020
SubjectEngineering & Technology, Computer Science
TypeTextbook
AuthorReza Borhani, Aggelos K. Katsaggelos, Jeremy Watt
Subject AreaInformation Science
FormatHardcover
Dimensions
Item Height255 mm
Item Weight1360 g
Item Width183 mm
Additional Product Features
Country/Region of ManufactureUnited Kingdom
Title_AuthorReza Borhani, Aggelos K. Katsaggelos, Jeremy Watt
