Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Good. Used book that is in clean, average condition without any missing pages.
Anbieter: AwesomeBooks, Wallingford, Vereinigtes Königreich
EUR 22,69
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Very Good. An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
Anbieter: Bahamut Media, Reading, Vereinigtes Königreich
EUR 22,67
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.
paperback. Zustand: Good.
Zustand: Used - Very Good. 2013. hardcover. Cloth, no dj. Minor shelf wear. Else a bright, clean copy. Very Good.
hardcover. Zustand: Very Good.
Hardcover. Zustand: Very Good. 2023. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Sprache: Englisch
Verlag: Springer-Verlag New York Inc., United States, New York, NY, 2017
ISBN 10: 1461471370 ISBN 13: 9781461471370
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
EUR 46,74
Anzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Very Good. 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. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
paperback. Zustand: Very Good.
Anbieter: Jadewalky Book Company, HANOVER PARK, IL, USA
Erstausgabe
Hardcover. Zustand: Fine. 1st Edition. gated Perfect condition gift quality, shrink-wrapped and shipped in bubble mailer.
Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
EUR 71,15
Anzahl: 1 verfügbar
In den WarenkorbZustand: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In fair condition, suitable as a study copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1100grams, ISBN:9781071614174.
Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
EUR 71,15
Anzahl: 1 verfügbar
In den WarenkorbZustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1100grams, ISBN:9781071614174.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 82,53
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 75 pages. 10.00x7.00x10.00 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 88,43
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 2nd edition. 622 pages. 9.25x6.10x1.22 inches. In Stock.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 103,20
Anzahl: 4 verfügbar
In den WarenkorbZustand: New.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 106,62
Anzahl: 1 verfügbar
In den WarenkorbZustand: New.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 117,81
Anzahl: 3 verfügbar
In den WarenkorbZustand: New. pp. 388.
Anbieter: moluna, Greven, Deutschland
Gebunden. Zustand: New. Presents an essential statistical learning toolkit for practitioners in science, industry, and other fieldsDemonstrates application of the statistical learning methods in RIncludes new chapters on deep learning, survival analysis, and multi.
Zustand: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. An Introduction to Statistical Learning | with Applications in R | Gareth James (u. a.) | Taschenbuch | xv | Englisch | 2022 | Humana | EAN 9781071614204 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer US, Springer Jul 2022, 2022
ISBN 10: 1071614207 ISBN 13: 9781071614204
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - 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, deep learning, survival analysis, multiple testing, 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.This Second Edition features new chapters on deep learning, survival analysis, and multiple testing, as well as expanded treatments of naïve Bayes, generalized linear models, Bayesian additive regression trees, and matrix completion. R code has been updated throughout to ensure compatibility.
paperback. Zustand: Sehr gut. 622 Seiten; 9781071614204.2 Gewicht in Gramm: 500.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 132,33
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 607 pages. 10.00x7.00x1.50 inches. In Stock.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. An Introduction to Statistical Learning | with Applications in Python | Gareth James (u. a.) | Taschenbuch | xv | Englisch | 2024 | Springer | EAN 9783031391897 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 134,92
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 75 pages. 10.00x7.00x10.00 inches. In Stock.
Sprache: Englisch
Verlag: Springer International Publishing, Springer Nature Switzerland Jul 2024, 2024
ISBN 10: 3031391896 ISBN 13: 9783031391897
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - An Introduction to Statistical Learningprovides 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, marketing, and 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, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wroteAn Introduction to Statistical Learning, With Applications in R(ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.
Zustand: New. 2023. 2023rd Edition. hardcover. . . . . . Books ship from the US and Ireland.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 146,46
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 2nd edition. 622 pages. 9.25x6.10x1.22 inches. In Stock.