An Introduction to Statistical Learning: with Applications in R (Springer Texts,
You will find that this textbook uses simple language without dumbing things down.
Springer Texts in Statistics Ser.: Introduction to Statistical Learning :…
A hardback copy of this book in good condition. Please ask questions before bidding. Thank you.
Springer Texts in Statistics Ser.: Introduction to Statistical Learning :…
Introduction to Statistical Learning: With Applications in R is a comprehensive textbook exploring topics in computers, mathematics, and statistical software. Published by Springer New York in 2017, this book offers a detailed introduction to statistical learning methods with a focus on R programming. Written by authors Trevor Hastie, Gareth James, Robert Tibshirani, and Daniela Witten, this hardcover textbook is a valuable resource for students and professionals interested in mathematical and statistical software, probability and statistics, and artificial intelligence and semantics. With 426 pages and a series of informative examples and exercises, this textbook provides a thorough introduction to the field of statistical learning.
An Introduction to Statistical Learning: with Applications in R (Springer Texts
Title : An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics). Publisher : SPRINGER. Pages : 426. Publication Date : 2013T. Condition : Good.