Publicado por Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
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Publicado por Cambridge University Press CUP, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Idioma: Inglés
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 92,25
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Publicado por Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Idioma: Inglés
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 97,72
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Publicado por Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Idioma: Inglés
Librería: California Books, Miami, FL, Estados Unidos de America
EUR 102,30
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Publicado por Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Idioma: Inglés
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EUR 92,07
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Publicado por Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Idioma: Inglés
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Publicado por Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 97,21
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Publicado por Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Idioma: Inglés
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 98,31
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Publicado por Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoBuch. Condición: 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.
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: 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 .
Publicado por Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Idioma: Inglés
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Publicado por Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Idioma: Inglés
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 108,27
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Publicado por Cambridge University Press, Cambridge, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 94,41
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Añadir al carritoHardcover. Condición: 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Publicado por Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Idioma: Inglés
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 133,51
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Publicado por Cambridge University Press
Librería: Academic Book Solutions, Medford, NY, Estados Unidos de America
EUR 61,79
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Añadir al carritohardcover. Condición: 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.
Publicado por Cambridge University Press
Librería: Academic Book Solutions, Medford, NY, Estados Unidos de America
EUR 61,79
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Añadir al carritohardcover. Condición: VeryGood. Cover damage, A copy that may have been read, very minimal wear and tear. May have a remainder mark.
Publicado por Cambridge University Press, Cambridge, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
EUR 103,87
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Añadir al carritoHardcover. Condición: 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 141,11
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Añadir al carritoHardcover. Condición: Brand New. 427 pages. 10.00x7.00x1.00 inches. In Stock.
Publicado por Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Idioma: Inglés
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 122,22
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Publicado por Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Idioma: Inglés
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Publicado por Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Idioma: Inglés
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 61,76
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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!
Publicado por Cambridge University Press, Cambridge, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Idioma: Inglés
Librería: Grand Eagle Retail, Fairfield, OH, Estados Unidos de America
EUR 109,68
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Añadir al carritoHardcover. Condición: 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 99,69
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Añadir al carritoHardcover. Condición: Brand New. 427 pages. 10.00x7.00x1.00 inches. In Stock. This item is printed on demand.
Publicado por Cambridge University Press, 2019
ISBN 10: 110849420X ISBN 13: 9781108494205
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 101,93
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Añadir al carritoHardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 1186.