Edité par Springer (edition 2008), 2008
ISBN 10 : 0387775005 ISBN 13 : 9780387775005
Langue: anglais
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
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Ajouter au panierHardcover. Etat : Good. 2008. 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.
Edité par Springer International Publishing, 2018
ISBN 10 : 3319829696 ISBN 13 : 9783319829692
Langue: anglais
Vendeur : Buchpark, Trebbin, Allemagne
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Ajouter au panierEtat : Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher.
EUR 37,65
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Ajouter au panierEtat : New. pp. 384.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Ajouter au panierEtat : New. pp. 384.
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Ajouter au panierEtat : New. pp. 384 Illus.
Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis
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Ajouter au panierEtat : New. In.
Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis
EUR 73,12
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Ajouter au panierEtat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Vendeur : ALLBOOKS1, Direk, SA, Australie
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Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 69,55
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Ajouter au panierPaperback. Etat : New.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Vendeur : ALLBOOKS1, Direk, SA, Australie
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Edité par Springer International Publishing, Springer International Publishing, 2018
ISBN 10 : 3319829696 ISBN 13 : 9783319829692
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 71,68
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response. This fully revised new edition includes important developments over the past 8 years. Consistent with modern data analytics, it emphasizes that a proper statistical learning data analysis derives from sound data collection, intelligent data management, appropriate statistical procedures, and an accessible interpretation of results. As in the first edition, a unifying theme is supervised learning that can be treated as a form of regression analysis. Key concepts and procedures are illustrated with real applications, especially those with practical implications. The material is written for upper undergraduate level and graduate students in the social and life sciences and for researchers who want to apply statistical learning procedures to scientific and policy problems. The author uses this book in a course on modern regression for the social, behavioral, and biological sciences. All of the analyses included are done in R with code routinely provided.
Vendeur : ALLBOOKS1, Direk, SA, Australie
EUR 86,58
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Vendeur : Greenway, Chattanooga, TN, Etats-Unis
EUR 21,23
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Ajouter au panierHardcover. Etat : Very good condition. very clean,fast ship.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 69,87
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Ajouter au panierEtat : New.
Edité par Springer Nature Switzerland AG, CH, 2021
ISBN 10 : 3030429237 ISBN 13 : 9783030429232
Langue: anglais
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 87,20
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Ajouter au panierPaperback. Etat : New. Third Edition 2020. This textbook considers statistical learning applications when interest centers on the conditional distribution of a response variable, given a set of predictors, and in the absence of a credible model that can be specified before the data analysis begins. Consistent with modern data analytics, it emphasizes that a proper statistical learning data analysis depends in an integrated fashion on sound data collection, intelligent data management, appropriate statistical procedures, and an accessible interpretation of results. The unifying theme is that supervised learning properly can be seen as a form of regression analysis. Key concepts and procedures are illustrated with a large number of real applications and their associated code in R, with an eye toward practical implications. The growing integration of computer science and statistics is well represented including the occasional, but salient, tensions that result. Throughout, there are links to the big picture.The third edition considers significant advances in recent years, among which are:the development of overarching, conceptual frameworks for statistical learning;the impact of "big data" on statistical learning;the nature and consequences of post-model selection statistical inference;deep learning in various forms;the special challenges to statistical inference posed by statistical learning;the fundamental connections between data collection and data analysis;interdisciplinary ethical and political issues surrounding the application of algorithmic methods in a wide variety of fields, each linked to concerns about transparency, fairness, and accuracy.This edition features new sections on accuracy, transparency, and fairness, as well as a new chapter on deep learning. Precursors to deep learning get an expanded treatment. The connections between fitting and forecasting are considered in greater depth. Discussion of the estimation targets for algorithmic methods is revised and expanded throughout to reflect the latest research. Resampling procedures are emphasized. The material is written for upper undergraduate and graduate students in the social, psychological and life sciences and for researchers who want to apply statistical learning procedures to scientific and policy problems.
Edité par Springer International Publishing, Springer International Publishing Jun 2018, 2018
ISBN 10 : 3319829696 ISBN 13 : 9783319829692
Langue: anglais
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
EUR 71,68
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware -This textbook considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 376 pp. Englisch.
Vendeur : ALLBOOKS1, Direk, SA, Australie
EUR 89,14
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Ajouter au panierBrand new book. Fast ship. Please provide full street address as we are not able to ship toPOboxaddress.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 77,88
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Ajouter au panierEtat : As New. Unread book in perfect condition.