Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107422221 ISBN 13: 9781107422223
Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Zustand: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Sprache: Englisch
Verlag: Cambridge University Press (edition 1), 2012
ISBN 10: 1107422221 ISBN 13: 9781107422223
Anbieter: BooksRun, Philadelphia, PA, USA
Paperback. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107422221 ISBN 13: 9781107422223
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
EUR 3,41
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: 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.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107422221 ISBN 13: 9781107422223
Anbieter: WeBuyBooks, Rossendale, LANCS, Vereinigtes Königreich
EUR 3,26
Anzahl: 1 verfügbar
In den WarenkorbZustand: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.
Sprache: Englisch
Verlag: Cambridge University Press, 2013
ISBN 10: 1107422221 ISBN 13: 9781107422223
Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
EUR 24,56
Anzahl: 1 verfügbar
In den WarenkorbZustand: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1000grams, ISBN:9781107422223.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107422221 ISBN 13: 9781107422223
Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
EUR 24,56
Anzahl: 1 verfügbar
In den WarenkorbZustand: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. Clean from markings. In poor condition, suitable as a reading copy. Water damage. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1000grams, ISBN:9781107422223.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107422221 ISBN 13: 9781107422223
Anbieter: Labyrinth Books, Princeton, NJ, USA
Zustand: New.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107422221 ISBN 13: 9781107422223
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 69,11
Anzahl: 3 verfügbar
In den WarenkorbZustand: New. pp. 409 120 Illus. (Col.).
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107422221 ISBN 13: 9781107422223
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 66,07
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107422221 ISBN 13: 9781107422223
Anbieter: moluna, Greven, Deutschland
Zustand: New. Machine Learning brings together all the state-of-the-art methods for making sense of data. With hundreds of worked examples and explanatory figures, the book explains the principles behind these methods in an intuitive yet precise manner and will appeal to.
Sprache: Englisch
Verlag: Cambridge University Press, 2012
ISBN 10: 1107422221 ISBN 13: 9781107422223
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook.