An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

Valutazione media 4,63
( su 568 valutazioni fornite da Goodreads )
 
9781461471370: An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

About the Author:

Gareth James is a professor of data sciences and operations at the University of Southern California. He has published an extensive body of methodological work in the domain of statistical learning with particular emphasis on high-dimensional and functional data. The conceptual framework for this book grew out of his MBA elective courses in this area.

Daniela Witten is an associate professor of statistics and biostatistics at the University of Washington. Her research focuses largely on statistical machine learning in the high-dimensional setting, with an emphasis on unsupervised learning.


Trevor Hastie and Robert Tibshirani are professors of statistics at Stanford University, and are co-authors of the successful textbook Elements of Statistical Learning. Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap.      

Review:

"An Introduction to Statistical Learning (ISL)" by James, Witten, Hastie and Tibshirani is the "how to'' manual for statistical learning. Inspired by "The Elements of Statistical Learning'' (Hastie, Tibshirani and Friedman), this book provides clear and intuitive guidance on how to implement cutting edge statistical and machine learning methods. ISL makes modern methods accessible to a wide audience without requiring a background in Statistics or Computer Science. The authors give precise, practical explanations of what methods are available, and when to use them, including explicit R code. Anyone who wants to intelligently analyze complex data should own this book." (Larry Wasserman, Professor, Department of Statistics and Machine Learning Department, Carnegie Mellon University)

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

I migliori risultati di ricerca su AbeBooks

1.

Gareth James
ISBN 10: 1461471370 ISBN 13: 9781461471370
Nuovi Rilegato Quantità: > 20
Da
GREAT BOOKS DEAL
(TALLAHASSEE, FL, U.S.A.)
Valutazione libreria
[?]

Descrizione libro Hardcover. Condizione libro: New. Brand NEW. Standard delivery takes 3-6 business days by USPS/UPS/Fedex with tracking number. Choose expedited shipping for superfast delivery 2-4 business days. We also ship to PO Box addresses. 100% Customer satisfaction guaranteed! Please feel free to contact us for any queries. Codice libro della libreria ORC-1119

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 34,18
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 3,31
In U.S.A.
Destinazione, tempi e costi

2.

Gareth James; Daniela Witten; Trevor Hastie; Robert Tibshirani
Editore: Springer (2017)
ISBN 10: 1461471370 ISBN 13: 9781461471370
Nuovi Rilegato Prima edizione Quantità: 5
Da
NOOP LLC
(JAMAICA, NY, U.S.A.)
Valutazione libreria
[?]

Descrizione libro Springer, 2017. Hardcover. Condizione libro: New. Condizione sovraccoperta: New. 1st Edition. BRAND NEW. Codice libro della libreria ABE-1511804651065

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 34,14
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 3,40
In U.S.A.
Destinazione, tempi e costi

3.

JAMES
ISBN 10: 1461471370 ISBN 13: 9781461471370
Nuovi Quantità: 5
Da
firstbookstore
(New Delhi, India)
Valutazione libreria
[?]

Descrizione libro Condizione libro: Brand New. Brand New Original US Edition, Perfect Condition. Printed in English. Excellent Quality, Service and customer satisfaction guaranteed!. Codice libro della libreria AIND-91596

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 54,24
Convertire valuta

Aggiungere al carrello

Spese di spedizione: GRATIS
Da: India a: U.S.A.
Destinazione, tempi e costi

4.

James
ISBN 10: 1461471370 ISBN 13: 9781461471370
Nuovi Quantità: > 20
Da
Bookshub
(Karol Bagh, India)
Valutazione libreria
[?]

Descrizione libro Condizione libro: New. New. US edition. Perfect condition. Customer satisfaction our priority. Codice libro della libreria ABE-FEB-7378

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 54,84
Convertire valuta

Aggiungere al carrello

Spese di spedizione: GRATIS
Da: India a: U.S.A.
Destinazione, tempi e costi

5.

James
ISBN 10: 1461471370 ISBN 13: 9781461471370
Nuovi Quantità: > 20
Da
EBOOKSTORE2010
(New Delhi, ND, India)
Valutazione libreria
[?]

Descrizione libro Condizione libro: Brand New. New. US edition. Customer Satisfaction guaranteed!!. Codice libro della libreria SHUB7378

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 54,89
Convertire valuta

Aggiungere al carrello

Spese di spedizione: GRATIS
Da: India a: U.S.A.
Destinazione, tempi e costi

6.

JAMES
ISBN 10: 1461471370 ISBN 13: 9781461471370
Nuovi Quantità: 5
Da
Romtrade Corp.
(STERLING HEIGHTS, MI, U.S.A.)
Valutazione libreria
[?]

Descrizione libro Condizione libro: New. Brand New Original US Edition.We Ship to PO BOX Address also. EXPEDITED shipping option also available for faster delivery. Codice libro della libreria AUSBNEW-91596

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 57,53
Convertire valuta

Aggiungere al carrello

Spese di spedizione: GRATIS
In U.S.A.
Destinazione, tempi e costi

7.

James
ISBN 10: 1461471370 ISBN 13: 9781461471370
Nuovi Quantità: > 20
Da
Basi6 International
(Irving, TX, U.S.A.)
Valutazione libreria
[?]

Descrizione libro Condizione libro: Brand New. New, US edition. Excellent Customer Service. Codice libro della libreria ABEUSA-7378

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 57,55
Convertire valuta

Aggiungere al carrello

Spese di spedizione: GRATIS
In U.S.A.
Destinazione, tempi e costi

8.

Gareth James; Daniela Witten; Trevor Hastie; Robert Tibshirani
ISBN 10: 1461471370 ISBN 13: 9781461471370
Nuovi Quantità: 3
Da
Speedy Hen LLC
(Sunrise, FL, U.S.A.)
Valutazione libreria
[?]

Descrizione libro Condizione libro: New. Bookseller Inventory # ST1461471370. Codice libro della libreria ST1461471370

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 59,99
Convertire valuta

Aggiungere al carrello

Spese di spedizione: GRATIS
In U.S.A.
Destinazione, tempi e costi

9.

Gareth James, Daniela Witten, Trevor Hastie
Editore: Springer-Verlag New York Inc., United States (2017)
ISBN 10: 1461471370 ISBN 13: 9781461471370
Nuovi Rilegato Quantità: 10
Da
The Book Depository US
(London, Regno Unito)
Valutazione libreria
[?]

Descrizione libro Springer-Verlag New York Inc., United States, 2017. Hardback. Condizione libro: New. 1st ed. 2013, Corr. 7th printing 2017. Language: English . Brand New Book. 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. Codice libro della libreria AAZ9781461471370

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 60,10
Convertire valuta

Aggiungere al carrello

Spese di spedizione: GRATIS
Da: Regno Unito a: U.S.A.
Destinazione, tempi e costi

10.

Gareth James, Daniela Witten, Trevor Hastie
Editore: Springer-Verlag New York Inc., United States (2017)
ISBN 10: 1461471370 ISBN 13: 9781461471370
Nuovi Rilegato Quantità: 10
Da
The Book Depository
(London, Regno Unito)
Valutazione libreria
[?]

Descrizione libro Springer-Verlag New York Inc., United States, 2017. Hardback. Condizione libro: New. 1st ed. 2013, Corr. 7th printing 2017. Language: English . Brand New Book. 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. Codice libro della libreria AAZ9781461471370

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 60,14
Convertire valuta

Aggiungere al carrello

Spese di spedizione: GRATIS
Da: Regno Unito a: U.S.A.
Destinazione, tempi e costi

Vedi altre copie di questo libro

Vedi tutti i risultati per questo libro