Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Librería: Books From California, Simi Valley, CA, Estados Unidos de America
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Publicado por Cambridge University Press
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Añadir al carritohardcover. Condición: VeryGood. Warped, A copy that may have been read, very minimal wear and tear. May have a remainder mark.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 0521766338 ISBN 13: 9780521766333
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
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Añadir al carritohardcover. Condición: 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!
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
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Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
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Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
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Idioma: Inglés
Publicado por Springer-Verlag New York Inc, 2011
ISBN 10: 0857295241 ISBN 13: 9780857295248
Librería: Revaluation Books, Exeter, Reino Unido
EUR 76,25
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Añadir al carritoPaperback. Condición: Brand New. 112 pages. 8.75x6.00x0.25 inches. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 84,06
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Idioma: Inglés
Publicado por Cambridge University Press 2020-01-30, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
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Añadir al carritoHardcover. Condición: New.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
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Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
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Idioma: Inglés
Publicado por Springer London, Springer, 2011
ISBN 10: 0857295241 ISBN 13: 9780857295248
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 57,68
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The ultimate goal of machines is to help humans to solve problems.Such problems range between two extremes: structured problems for which the solution is totally defined (and thus are easily programmed by humans), and random problems for which the solution is completely undefined (and thus cannot be programmed). Problems in the vast middle ground have solutions that cannot be well defined and are, thus, inherently hard to program. Machine Learning is the way to handle this vast middle ground, so that many tedious and difficult hand-coding tasks would be replaced by automatic learning methods. There are several machine learning tasks, and this work is focused on a major one, which is known as classification. Some classification problems are hard to solve, but we show that they can be decomposed into much simpler sub-problems. We also show that independently solving these sub-problems by taking into account their particular demands, often leads to improved classification performance.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 125,63
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Añadir al carritoHardback. Condición: New. The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 101,19
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Añadir al carritoPaperback. Condición: Like New. Like New. book.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Librería: moluna, Greven, Alemania
EUR 90,11
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Añadir al carritoCondición: New. This textbook for senior undergraduate and graduate students offers comprehensive coverage, an algorithmic perspective, and a wealth of examples in exploratory data analysis, pattern mining, clustering, and classification. New to this second edition are sev.
Librería: Buchpark, Trebbin, Alemania
EUR 35,42
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Añadir al carritoCondición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | The ultimate goal of machines is to help humans to solve problems. Such problems range between two extremes: structured problems for which the solution is totally defined (and thus are easily programmed by humans), and random problems for which the solution is completely undefined (and thus cannot be programmed). Problems in the vast middle ground have solutions that cannot be well defined and are, thus, inherently hard to program. Machine Learning is the way to handle this vast middle ground, so that many tedious and difficult hand-coding tasks would be replaced by automatic learning methods. There are several machine learning tasks, and this work is focused on a major one, which is known as classification. Some classification problems are hard to solve, but we show that they can be decomposed into much simpler sub-problems. We also show that independently solving these sub-problems by taking into account their particular demands, often leads to improved classification performance.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 131,28
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Añadir al carritoHardcover. Condición: Brand New. 2nd edition. 766 pages. 10.00x7.25x1.75 inches. In Stock.
Idioma: Inglés
Publicado por Cambridge University Press, GB, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Librería: Rarewaves.com UK, London, Reino Unido
EUR 117,06
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Añadir al carritoHardback. Condición: New. The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.
Idioma: Inglés
Publicado por Cambridge University Press, 2014
ISBN 10: 0521766338 ISBN 13: 9780521766333
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 192,86
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Añadir al carritoHardcover. Condición: Good. Good. Dust Jacket NOT present. CD WILL BE MISSING. . SHIPS FROM MULTIPLE LOCATIONS. book.
Idioma: Inglés
Publicado por Springer London Mai 2011, 2011
ISBN 10: 0857295241 ISBN 13: 9780857295248
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 53,49
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The ultimate goal of machines is to help humans to solve problems.Such problems range between two extremes: structured problems for which the solution is totally defined (and thus are easily programmed by humans), and random problems for which the solution is completely undefined (and thus cannot be programmed). Problems in the vast middle ground have solutions that cannot be well defined and are, thus, inherently hard to program. Machine Learning is the way to handle this vast middle ground, so that many tedious and difficult hand-coding tasks would be replaced by automatic learning methods. There are several machine learning tasks, and this work is focused on a major one, which is known as classification. Some classification problems are hard to solve, but we show that they can be decomposed into much simpler sub-problems. We also show that independently solving these sub-problems by taking into account their particular demands, often leads to improved classification performance. 128 pp. Englisch.
Librería: moluna, Greven, Alemania
EUR 48,37
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. First book only devoted to associative classification, which is an emerging classification strategyThe work puts associative classification algorithms into the existing machine learning theoryThe work lists several successful application sc.
Idioma: Inglés
Publicado por Cambridge University Press CUP, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 101,14
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Añadir al carritoCondición: New. Print on Demand pp. 775 2nd edition NO-PA16APR2015-KAP.
Idioma: Inglés
Publicado por Cambridge University Press, 2020
ISBN 10: 1108473989 ISBN 13: 9781108473989
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 93,99
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 775.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 84,21
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Añadir al carritoHardcover. Condición: Brand New. 2nd edition. 766 pages. 10.00x7.25x1.75 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Springer London, Springer Mai 2011, 2011
ISBN 10: 0857295241 ISBN 13: 9780857295248
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 53,49
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The ultimate goal of machines is to help humans to solve problems.Such problems range between two extremes: structured problems for which the solution is totally defined (and thus are easily programmed by humans), and random problems for which the solution is completely undefined (and thus cannot be programmed). Problems in the vast middle ground have solutions that cannot be well defined and are, thus, inherently hard to program. Machine Learning is the way to handle this vast middle ground, so that many tedious and difficult hand-coding tasks would be replaced by automatic learning methods. There are several machine learning tasks, and this work is focused on a major one, which is known as classification. Some classification problems are hard to solve, but we show that they can be decomposed into much simpler sub-problems. We also show that independently solving these sub-problems by taking into account their particular demands, often leads to improved classification performance.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 128 pp. Englisch.