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Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 50)
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
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Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics)
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press CUP, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
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Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics)
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
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Model-Based Clustering and Classification for Data Science : With Applications in R
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
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Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics)
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
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Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 50)
Editore: Cambridge University Press
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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.
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Model-Based Clustering and Classification for Data Science
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
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Model-Based Clustering and Classification for Data Science
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 50)
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
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Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 50)
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Model-Based Clustering and Classification for Data Science : With Applications in R
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
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Model-Based Clustering and Classification for Data Science : With Applications in R
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
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Model-Based Clustering and Classification for Data Science: With Applications in R: 50 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 50)
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press 2019-07-25, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: Chiron Media, Wallingford, Regno Unito
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EUR 94,42
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Aggiungi al carrelloHardcover. Condizione: New.
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Model-Based Clustering and Classification for Data Science: With Applications in R
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Aggiungi al carrelloCondizione: New. 2019. Hardcover. . . . . .
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Model-Based Clustering and Classification for Data Science : With Applications in R
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Model-Based Clustering and Classification for Data Science
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, GB, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
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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.
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Model-Based Clustering and Classification for Data Science: With Applications in R (Cambridge Series in Statistical and Probabilistic Mathematics)
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: Mispah books, Redhill, SURRE, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: New. New. book.
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Model-Based Clustering and Classification for Data Science: With Applications in R
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: Kennys Bookstore, Olney, MD, U.S.A.
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Condizione: New. 2019. Hardcover. . . . . . Books ship from the US and Ireland.
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Model-Based Clustering and Classification for Data Science: With Applications in R
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsEUR 104,02
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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 .
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Model-based Clustering and Classification for Data Science: With Applications in R
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsDa: Revaluation Books, Exeter, Regno Unito
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EUR 144,87
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Aggiungi al carrelloHardcover. Condizione: Brand New. 427 pages. 10.00x7.00x1.00 inches. In Stock.
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Model-based Clustering and Classification for Data Science
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
EUR 109,16
Spedizione EUR 65,14
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Colorful example-rich introduction to the state-of-the-art for students in data science, as well as researchers and practitioners.
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Model-Based Clustering and Classification for Data Science
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, GB, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: Rarewaves.com UK, London, Regno Unito
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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.
-
Model-Based Clustering and Classification for Data Science (Hardcover)
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, Cambridge, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: new. Hardcover. 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. 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 methods, using extensive data examples and providing R code for many methods. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Model-based Clustering and Classification for Data Science: With Applications in R
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsDa: Revaluation Books, Exeter, Regno Unito
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EUR 102,58
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Aggiungi al carrelloHardcover. Condizione: Brand New. 427 pages. 10.00x7.00x1.00 inches. In Stock. This item is printed on demand.
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Model-Based Clustering and Classification for Data Science: With Applications in R
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
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EUR 106,06
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Model-Based Clustering and Classification for Data Science (Hardcover)
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, Cambridge, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Da: CitiRetail, Stevenage, Regno Unito
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EUR 102,59
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. 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. 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 methods, using extensive data examples and providing R code for many methods. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Model-based Clustering and Classification for Data Science
Libro 1 di 46: Cambridge Series in Statistical and Probabilistic MathematicsLingua: Inglese
Editore: Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
EUR 139,55
Spedizione EUR 70,00
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Aggiungi al carrelloBuch. Condizione: Neu. Model-based Clustering and Classification for Data Science | Charles Bouveyron (u. a.) | Buch | Gebunden | Englisch | 2019 | Cambridge University Press | EAN 9781108494205 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
