Items related to Understanding Machine Learning: From Theory to Algorithms
Synopsis
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
"synopsis" may belong to another edition of this title.
About the Authors
Shai Shalev-Shwartz is an Associate Professor at the School of Computer Science and Engineering at the Hebrew University of Jerusalem, Israel.
Shai Ben-David is a Professor in the School of Computer Science at the University of Waterloo, Canada.
"About this title" may belong to another edition of this title.
- PublisherCambridge University Press
- Publication date2014
- ISBN 10 1107057132
- ISBN 13 9781107057135
- BindingHardcover
- LanguageEnglish
- Number of pages414
Search results for Understanding Machine Learning: From Theory to Algorithms
Stock Image
UNDERSTANDING MACHINE LEARNING
Published by
Cambridge University Press, 2014
ISBN 10: 1107057132
ISBN 13: 9781107057135
New
Hardcover
Seller: Speedyhen, London, United Kingdom
Seller rating 5 out of 5 stars
Condition: NEW. Seller Inventory # NW9781107057135
Quantity: 2 available
Seller Image
Understanding Machine Learning : From Theory to Algorithms
Published by
Cambridge University Press, 2014
ISBN 10: 1107057132
ISBN 13: 9781107057135
New
Hardcover
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 20154425-n
Quantity: Over 20 available
Stock Image
Understanding Machine Learning
Published by
Cambridge University Press, 2014
ISBN 10: 1107057132
ISBN 13: 9781107057135
New
Hardcover
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9781107057135_new
Quantity: Over 20 available
Stock Image
Understanding Machine Learning: From Theory to Algorithms
Published by
Cambridge University Press, 2014
ISBN 10: 1107057132
ISBN 13: 9781107057135
Used
Hardcover
Seller: SecondSale, Montgomery, IL, U.S.A.
Seller rating 4 out of 5 stars
Condition: Good. Item in good condition and has highlighting/writing on text. Used texts may not contain supplemental items such as CDs, info-trac etc. Seller Inventory # 00087735825
Quantity: 1 available
Stock Image
Understanding Machine Learning: From Theory to Algorithms
Published by
Cambridge University Press, 2014
ISBN 10: 1107057132
ISBN 13: 9781107057135
New
Hardcover
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 1160. Seller Inventory # C9781107057135
Quantity: Over 20 available
Seller Image
Understanding Machine Learning : From Theory to Algorithms
Published by
Cambridge University Press, 2014
ISBN 10: 1107057132
ISBN 13: 9781107057135
Used
Hardcover
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 20154425
Quantity: Over 20 available
Seller Image
Understanding Machine Learning (Hardcover)
Published by
Cambridge University Press, Cambridge, 2014
ISBN 10: 1107057132
ISBN 13: 9781107057135
New
Hardcover
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. 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. Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. This book explains the principles behind the automated learning approach and the considerations underlying its usage. The authors explain the 'hows' and 'whys' of machine-learning algorithms, making the field accessible to both students and practitioners. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781107057135
Quantity: 1 available
Stock Image
Understanding Machine Learning
Published by
Cambridge University Press, 2014
ISBN 10: 1107057132
ISBN 13: 9781107057135
New
Hardcover
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. pp. 424 47 Illus. Seller Inventory # 94863729
Quantity: 1 available
Stock Image
Understanding Machine Learning: From Theory to Algorithms
Print on DemandSeller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: Brand New. 397 pages. 10.00x7.00x1.00 inches. In Stock. This item is printed on demand. Seller Inventory # __1107057132
Quantity: 1 available
Stock Image
Understanding Machine Learning
Published by
Cambridge University Press CUP, 2014
ISBN 10: 1107057132
ISBN 13: 9781107057135
New
Hardcover
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. pp. 424. Seller Inventory # 2697533614
Quantity: 1 available