Description: Further DetailsTitle: Understanding Machine LearningCondition: NewSubtitle: From Theory to AlgorithmsEAN: 9781107057135ISBN: 9781107057135Publisher: Cambridge University PressFormat: HardbackRelease Date: 05/19/2014Description: Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides a theoretical account of the fundamentals underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics, the book covers a wide array of central topics unaddressed by previous textbooks. These include a discussion of the computational complexity of learning and the concepts of convexity and stability; important algorithmic paradigms including stochastic gradient descent, neural networks, and structured output learning; and emerging theoretical concepts such as the PAC-Bayes approach and compression-based bounds. Designed for advanced undergraduates or beginning graduates, the text makes the fundamentals and algorithms of machine learning accessible to students and non-expert readers in statistics, computer science, mathematics and engineering.Language: EnglishCountry/Region of Manufacture: GBItem Height: 260mmItem Length: 183mmItem Width: 28mmItem Weight: 910gAuthor: Shai Shalev-Shwartz, Shai Ben-DavidGenre: Computing & InternetRelease Year: 2014 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Understanding Machine Learning
Title: Understanding Machine Learning
Subtitle: From Theory to Algorithms
EAN: 9781107057135
ISBN: 9781107057135
Release Date: 05/19/2014
Release Year: 2014
Country/Region of Manufacture: GB
Genre: Computing & Internet
Number of Pages: 410 Pages
Language: English
Publication Name: Understanding Machine Learning : from Theory to Algorithms
Publisher: Cambridge University Press
Item Height: 1.1 in
Subject: Algebra / General, Computer Vision & Pattern Recognition
Publication Year: 2014
Item Weight: 32.2 Oz
Type: Textbook
Author: Shai Ben-David, Shai Shalev-Shwartz
Subject Area: Mathematics, Computers
Item Length: 10.2 in
Item Width: 7.2 in
Format: Hardcover
