This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. Title: An Introduction to Statistical Learning. Format: Paperback.
This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data.
Author:Tibshirani, Robert. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. Book Binding:Paperback / softback.
This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. R code has been updated throughout to ensure compatibility.
Format: Paperback or Softback. ISBN: 9781071614204. Your source for quality books at reduced prices. Condition Guide. Publication Date: 8/13/2022. Item Availability.
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ISBN-13: 9781071614204, 978-1071614204. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. An Introduction to Statistical Learning with Applications in R.
The book provides an accessible introduction to statistical learning, focusing on practical applications and using the programming language R. With its detailed explanations and real-world examples, this textbook is a valuable resource for students and professionals looking to deepen their understanding of statistics and machine learning.