Lingua: Inglese
Editore: Cambridge University Press (edition 1), 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condizione: Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.
Lingua: Inglese
Editore: Cambridge University Press (edition 1), 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condizione: 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.
Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: HPB-Red, Dallas, TX, U.S.A.
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!
Lingua: Inglese
Editore: Cambridge University Press CUP, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Condizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: Majestic Books, Hounslow, Regno Unito
EUR 84,05
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: California Books, Miami, FL, U.S.A.
EUR 98,93
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Editore: Cambridge University Press
Da: Academic Book Solutions, Medford, NY, U.S.A.
hardcover. Condizione: Good. Page/Cover Damage, A copy that may have been read, minimal to no highlighting/underlining of text, no missing pages. May have a remainder mark. Spine may show signs of wear. Could be a library copy.
Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 88,26
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 91,16
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 91,09
Quantità: 13 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 104,79
Quantità: 13 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 107,30
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New. New. book.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 138,15
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: New. Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How should I handle outliers? Classification assigns new observations to groups given previously classified observations, and also has open questions about parameter tuning, robustness and uncertainty assessment. This book frames cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions. It builds the basic ideas in an accessible but rigorous way, with extensive data examples and R code; describes modern approaches to high-dimensional data and networks; and explains such recent advances as Bayesian regularization, non-Gaussian model-based clustering, cluster merging, variable selection, semi-supervised and robust classification, clustering of functional data, text and images, and co-clustering. Written for advanced undergraduates in data science, as well as researchers and practitioners, it assumes basic knowledge of multivariate calculus, linear algebra, probability and statistics.
Da: moluna, Greven, Germania
EUR 98,96
Quantità: 1 disponibili
Aggiungi al carrelloGebunden. Condizione: New. This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data science, as well as researchers and practitioners. It shows how a statistical framework yields sound estimation, testing and prediction .
Da: Revaluation Books, Exeter, Regno Unito
EUR 137,25
Quantità: 2 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 427 pages. 10.00x7.00x1.00 inches. In Stock.
Lingua: Inglese
Editore: Cambridge University Press, GB, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: Rarewaves.com UK, London, Regno Unito
EUR 130,85
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: New. Cluster analysis finds groups in data automatically. Most methods have been heuristic and leave open such central questions as: how many clusters are there? Which method should I use? How should I handle outliers? Classification assigns new observations to groups given previously classified observations, and also has open questions about parameter tuning, robustness and uncertainty assessment. This book frames cluster analysis and classification in terms of statistical models, thus yielding principled estimation, testing and prediction methods, and sound answers to the central questions. It builds the basic ideas in an accessible but rigorous way, with extensive data examples and R code; describes modern approaches to high-dimensional data and networks; and explains such recent advances as Bayesian regularization, non-Gaussian model-based clustering, cluster merging, variable selection, semi-supervised and robust classification, clustering of functional data, text and images, and co-clustering. Written for advanced undergraduates in data science, as well as researchers and practitioners, it assumes basic knowledge of multivariate calculus, linear algebra, probability and statistics.
Da: Revaluation Books, Exeter, Regno Unito
EUR 96,18
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Brand New. 427 pages. 10.00x7.00x1.00 inches. In Stock. This item is printed on demand.