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Title: An introduction to statistical learning : with applications in R / Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani. Statistical learning
Statistical learning Statistical learning
Springer texts in statistics, Statistical learning
Springer texts in statistics. Statistical learning
Author: James, Gareth (Gareth Michael), author.
Witten, Daniela, author.
Hastie, Trevor, author.
Tibshirani, Robert, author.
General Notes: Previous edition: New York: Springer, 2013., Previous edition: New York: Springer, 2013.
Includes index., Previous edition: New York: Springer, 2013.

Publisher: Springer,
Publication Place: New York, NY :
ISBN: 9781071614174
1071614177
9781071614181
1071614185
9781071614204
1071614207
Subject: Mathematical statistics.
Mathematical models.
R (Computer program language)
Statistics.
Models, Theoretical
Mod�eles math�ematiques.
R (Langage de programmation)
mathematical models.
Mathematical models.
Mathematical statistics.
R (Computer program language)
Statistics.
Textbooks.
Textbooks.
Series: Springer texts in statistics,
Springer texts in statistics.
Edition: Second edition.
Contents: Introduction -- Statistical learning -- Linear regression -- Classification -- Resampling methods -- Linear model selection and regularization -- Moving beyond linearity -- Tree-based methods -- Support vector machines -- Deep learning -- Survival analysis and censored data -- Unsupervised learning -- Multiple testing.

Physical Description: xv, 607 pages : illustrations (chiefly color) ;

Publication Date: [2021]
�2021

	Agency:	Collection:	Call No.:	Item Type:	Status:	Copy:	Barcode:	Media Type:
	Balqa	General	519.5 A 5484	Normal Circulation	Available	1	BU201019641	Book