An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) - gebunden oder broschiert
2013, ISBN: 9781461471370
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ISBN: 9781461471370
Springer New York. Used - Good. Used book that is in clean, average condition without any missing pages., Springer New York, 2.5
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2013, ISBN: 9781461471370
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) - gebunden oder broschiert
ISBN: 9781461471370
hardcover. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book., 2.5
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2013, ISBN: 1461471370
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An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) - gebunden oder broschiert
2013, ISBN: 9781461471370
Cengage Learning India Private Limited. 14th. New., Cengage Learning India Private Limited, 6, Cengage Learning India Private Limited. 14th. New., Cengage Learning India Private Limited… Mehr…
Hastie, Trevor, Tibshirani, Robert, Witten, Daniela, James, Gareth:
An Introduction to Statistical Learning : With Applications in R - gebrauchtes BuchISBN: 9781461471370
Springer New York. Used - Good. Used book that is in clean, average condition without any missing pages., Springer New York, 2.5
2013
ISBN: 9781461471370
Springer-Verlag New York Inc. Gebundene Ausgabe, Publiziert: 2013T, Produktgruppe: Buch, Verkaufsrang: 3476485, Kategorien, Bücher, Springer-Verlag New York Inc., 2013
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) - gebunden oder broschiert
ISBN: 9781461471370
hardcover. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book., 2.5
Bibliographische Daten des bestpassenden Buches
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An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform.
Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.
Detailangaben zum Buch - An Introduction to Statistical Learning
EAN (ISBN-13): 9781461471370
ISBN (ISBN-10): 1461471370
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 201308
Herausgeber: Springer-Verlag New York Inc.
429 Seiten
Gewicht: 0,896 kg
Sprache: Englisch
Buch in der Datenbank seit 2007-03-16T17:43:50+01:00 (Berlin)
Detailseite zuletzt geändert am 2024-02-14T16:56:33+01:00 (Berlin)
ISBN/EAN: 9781461471370
ISBN - alternative Schreibweisen:
1-4614-7137-0, 978-1-4614-7137-0
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: witt, wit, robert james, trevor, witten, gareth, daniel witte, hastie, friedman, robert ris, robert now, garet
Titel des Buches: statistics with, applications application, bildfolien learning, introduction statistical learning, elements statistical learning, statistica, learning from the least, learning how ask, text, witten, intr, gareth, daniela, 103, springer texts
Daten vom Verlag:
Autor/in: Gareth James; Daniela Witten; Trevor Hastie; Robert Tibshirani
Titel: Springer Texts in Statistics; An Introduction to Statistical Learning - with Applications in R
Verlag: Springer; Springer US
426 Seiten
Erscheinungsjahr: 2017-09-01
New York; NY; US
Gedruckt / Hergestellt in Vereinigte Staaten.
Gewicht: 1,014 kg
Sprache: Englisch
69,54 € (DE)
71,49 € (AT)
77,00 CHF (CH)
POD
BB; Book; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; R; R software; data mining; inference; statistical learning; supervised learning; unsupervised learning; B; Statistical Theory and Methods; Statistics and Computing/Statistics Programs; Artificial Intelligence; Statistics, general; Statistical Theory and Methods; Statistics and Computing; Artificial Intelligence; Statistics; Mathematics and Statistics; Mathematische und statistische Software; Künstliche Intelligenz; Wahrscheinlichkeitsrechnung und Statistik; EA; BB; BC
Introduction.- Statistical Learning.- Linear Regression.- Classification.- Resampling Methods.- Linear Model Selection and Regularization.- Moving Beyond Linearity.- Tree-Based Methods.- Support Vector Machines.- Unsupervised Learning.- Index.Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
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