An Introduction to Statistical Learning with Applications in R

Summary

An Introduction to Statistical Learning with Applications in R is a book edition^[1].

Key Facts

• An Introduction to Statistical Learning with Applications in R authored Gareth James^[2].
• An Introduction to Statistical Learning with Applications in R authored Daniela Witten^[3].
• An Introduction to Statistical Learning with Applications in R authored Trevor Hastie^[4].
• An Introduction to Statistical Learning with Applications in R authored Robert Tibshirani^[5].
• An Introduction to Statistical Learning with Applications in R's instance of is recorded as book edition^[6].
• An Introduction to Statistical Learning with Applications in R's publisher is recorded as Springer New York^[7].
• An Introduction to Statistical Learning with Applications in R's genre is recorded as reference work^[8].
• An Introduction to Statistical Learning with Applications in R's part of the series is recorded as Springer Texts in Statistics^[9].
• An Introduction to Statistical Learning with Applications in R's ISBN-13 is recorded as 978-1-0716-1417-4^[10].
• An Introduction to Statistical Learning with Applications in R's ISBN-13 is recorded as 978-1-0716-1420-4^[11].
• An Introduction to Statistical Learning with Applications in R's ISBN-13 is recorded as 978-1-0716-1418-1^[12].
• An Introduction to Statistical Learning with Applications in R's DOI is recorded as 10.1007/978-1-0716-1418-1^[13].
• An Introduction to Statistical Learning with Applications in R's language of work or name is recorded as English^[14].
• An Introduction to Statistical Learning with Applications in R's publication date is recorded as +2021-07-29T00:00:00Z^[15].
• An Introduction to Statistical Learning with Applications in R's edition or translation of is recorded as An Introduction to Statistical Learning^[16].
• An Introduction to Statistical Learning with Applications in R's zbMATH Open document ID is recorded as 1469.62002^[17].
• An Introduction to Statistical Learning with Applications in R's main subject is recorded as machine learning^[18].
• An Introduction to Statistical Learning with Applications in R's number of pages is recorded as {'unit': '1', 'amount': '+607'}^[19].
• An Introduction to Statistical Learning with Applications in R's title is recorded as An Introduction to Statistical Learning^[20].
• An Introduction to Statistical Learning with Applications in R's subtitle is recorded as with Applications in R^[21].

Body

Authorship and Creation

Authored works include Gareth James^[2], a mathematician^[22], awarded the Fulbright Scholarship^[23]; Daniela Witten^[3], a biostatistician^[24], b. 2000^[25], of United States^[26], awarded the Raymond J. Carroll Young Investigator Award^[27], specialised in biostatistics^[28]; Trevor Hastie^[4], a statistician^[29], b. 1953^[30], of United States^[31], awarded the Fellow of the Royal Statistical Society^[32], specialised in statistics^[33]; and Robert Tibshirani^[5], a statistician^[34], b. 1956^[35], of United States^[36], awarded the Guggenheim Fellowship^[37], specialised in statistics^[38]. An Introduction to Statistical Learning with Applications in R's publisher is recorded as Springer New York^[7].

Publication

An Introduction to Statistical Learning with Applications in R's publication date is recorded as +2021-07-29T00:00:00Z^[15]. Its language of work or name is recorded as English^[14]. Its genre is recorded as reference work^[8]. Its part of the series is recorded as Springer Texts in Statistics^[9].

Subject and Themes

An Introduction to Statistical Learning with Applications in R's main subject is recorded as machine learning^[18]. Its part of the series is recorded as Springer Texts in Statistics^[9].