Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1316636003 ISBN 13: 9781316636008
Da: California Books, Miami, FL, U.S.A.
EUR 49,68
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1316636003 ISBN 13: 9781316636008
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 45,37
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Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Cambridge University Press CUP, 2018
ISBN 10: 1316636003 ISBN 13: 9781316636008
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 158.
EUR 63,29
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 151 pages. 9.00x6.00x0.50 inches. In Stock.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1316636003 ISBN 13: 9781316636008
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 85,50
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. 2018. Reprint. Paperback. . . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1316636003 ISBN 13: 9781316636008
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 98,97
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. 2018. Reprint. Paperback. . . . . .
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1316636003 ISBN 13: 9781316636008
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 59,93
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Introduces cutting-edge research on machine learning theory and practice, providing an accessible, modern algorithmic toolkit.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2018
ISBN 10: 1316636003 ISBN 13: 9781316636008
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning researchers will be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding about the approaches used in practice and to facilitate the discovery of exciting, new ways to solve important long-standing problems. Machine learning is reshaping our everyday life. This book explores the theoretical underpinnings in an accessible way, offering theoretical computer scientists an introduction to important models and problems and offering machine learning researchers a cutting-edge algorithmic toolkit. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Revaluation Books, Exeter, Regno Unito
EUR 42,95
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 151 pages. 9.00x6.00x0.50 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1316636003 ISBN 13: 9781316636008
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 48,66
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1316636003 ISBN 13: 9781316636008
Da: Majestic Books, Hounslow, Regno Unito
EUR 62,96
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand pp. 158.
Lingua: Inglese
Editore: Cambridge University Press, 2018
ISBN 10: 1316636003 ISBN 13: 9781316636008
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 63,70
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 158.
Lingua: Inglese
Editore: Cambridge University Press, Cambridge, 2018
ISBN 10: 1316636003 ISBN 13: 9781316636008
Da: CitiRetail, Stevenage, Regno Unito
EUR 54,79
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning researchers will be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding about the approaches used in practice and to facilitate the discovery of exciting, new ways to solve important long-standing problems. Machine learning is reshaping our everyday life. This book explores the theoretical underpinnings in an accessible way, offering theoretical computer scientists an introduction to important models and problems and offering machine learning researchers a cutting-edge algorithmic toolkit. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 1316636003 ISBN 13: 9781316636008
Da: moluna, Greven, Germania
EUR 52,17
Quantità: Più di 20 disponibili
Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Machine learning is reshaping our everyday life. This book explores the theoretical underpinnings in an accessible way, offering theoretical computer scientists an introduction to important models and problems and offering machine learning researchers a cut.