Shalev david (71 risultati)

Condizione: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Hardback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condizione: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Condizione: Very Good. Tate St Ives: The Building This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.…

Paperback. Condizione: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. …

Paperback. Condizione: Very Good. contributor gift inscription with laid in letter.

Softback. Condizione: Very Good. Contemporary Architecture as seen in The Tate Gallery St Ives. Book.

Soft Cover. Condizione: Fine. 1st Edition.

Paperback. Condizione: Very Good. NEW EU 3 EURO CHARGE FOR IMPORTS IS INCLUDED IN OUR SHIPPING PRICE. ALL ITEMS ARE DISPATCHED FROM THE UK, ALL OVERSEAS ORDERS SENT BY TRACKABLE AIR MAIL. IF YOU ARE LOCATED OUTSIDE THE UK PLEASE ASK US FOR A POSTAGE QUOTE FOR MULTI VOLUME SETS BEFORE ORDERING.

Soft cover. Condizione: Fine. 1st Edition. Stiff dark blue wraps. Just a hint of handling wear, essentially as issued, with square, uncreased binding, clean and unmarked interior. Size: 8vo - over 7¾" - 9¾" tall. Book.

Soft cover. Condizione: Fine. 1st Edition. Book is in fine condition. Colour photographs.

Brossura. Condizione: fine. English Text.Edited by David Sahlev and Michael Toby.London, 1995; paperback, pp. 47, b/w and col. ill., cm 25x25. Libro.

Paper covers. Condizione: Fine. No Jacket. 1st edition. Scarcely used. Weight: 1.0 Language: English.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

paperback. Condizione: Fine.

Condizione: As New. Unread book in perfect condition.

Card Covers. Condizione: Fine. N/a. First Edition. 47pp. ISBN: 1854371614. A fine copy of this book, with the slightest of shelf wear. A superb first edition.

Softback book with 48 pp containg coloured photographs and black & white illustrationsillustrations in very good condition.

Condizione: Buone. inglese Condizioni dell'esterno: Discrete con difetti, segni d'uso Condizioni dell'interno: Discrete con Difetti, bruniture.

Tapa blanda. Condizione: New. Libro nuevo.

Paperback. Condizione: Brand New. 360 pages. German language. 5.43x0.98x7.80 inches. In Stock.

hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Hardback. Condizione: New. 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.…

Hardback. Condizione: New. 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.…