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Alle Exemplare der Ausgabe mit dieser ISBN anzeigen:“This book is an outstanding example of synthesizing theoretical knowledge with applications, mathematical notations with R code, and statistics with machine learning. It has relevant exercise sets and will be an excellent textbook for a broad range of quantitatively oriented students, specifically, for those specializing in data science or taking a course on statistical learning.” (Vyacheslav Lyubchich, Technometrics, Vol. 59 (4), November, 2017)
“The book focuses on supervised learning techniques that can be viewed as a form of regression ... . There are instructive problems at the end ... and examples with code in R to illustrate throughout. ... This is a thought provoking book worthy of serious attention by machine learning practitioners.” (Peter Rabinovitch, MAA Reviews, July, 2017)
“The intended audience includes advanced undergraduate and graduate students biostatistics in the fields of social science and life science, as well as researchers who want to apply statistical learning procedures to scientific and policy problems. ... This is an excellent overview of statistical learning applications. It is strongly recommended to advanced researchers and statisticians particularly interested in the social and behavioral aspects of data analysis.” (Puja Sitwala, Doody's Book Reviews, January, 2017)„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
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Buchbeschreibung Soft Cover. Zustand: new. Bestandsnummer des Verkäufers 9783319829692
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Buchbeschreibung Zustand: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Bestandsnummer des Verkäufers ria9783319829692_lsuk
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Buchbeschreibung PF. Zustand: New. Bestandsnummer des Verkäufers 6666-IUK-9783319829692
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Buchbeschreibung Zustand: New. Bestandsnummer des Verkäufers ABLIING23Mar3113020108567
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Buchbeschreibung Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 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. 376 pp. Englisch. Bestandsnummer des Verkäufers 9783319829692
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Buchbeschreibung Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783319829692
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Buchbeschreibung Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Accessible discussion of statistical learning procedures for practitioners with real-world applications in the social and policy sciencesMethods also of interest in the natural sciences and engineering Fully revised new edition with intuiti. Bestandsnummer des Verkäufers 385706156
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Buchbeschreibung Zustand: New. 2018. Softcover reprint of the original 2nd ed. 2016. paperback. . . . . . Bestandsnummer des Verkäufers V9783319829692
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Buchbeschreibung Zustand: New. 2018. Softcover reprint of the original 2nd ed. 2016. paperback. . . . . . Books ship from the US and Ireland. Bestandsnummer des Verkäufers V9783319829692
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