As a textbook for an introduction to data science through machine learning, there is much to like about ISLR. It’s thorough, lively, written at level appropriate for undergraduates and usable by …

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 …

If you use any of these figures in a presentation or lecture, somewhere in your set of slides please add the paragraph: "Some of the figures in this presentation are taken from "An Introduction to …

An Introduction to Statistical Learning has now been published by Springer. The book can be purchased at Amazon or directly from Springer.

Introduction to Statistical LearningGareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani

Errata for the 1st Edition, since the 7th printing (June 2017) and not reflected in online version Page 254. The glmnet package has been updated so two lines of code need to change. The line …

Gareth James is a professor of data sciences and operations at University of Southern California. He has published an extensive body of methodological work in the domain of statistical …

An Introduction to Statistical Learningprovides an accessible overview of the fi eld of statistical learning, an essential toolset for making sense of the vast and complex data sets that have …

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# Chapter 2 Lab: Introduction to R # Basic Commands x <- c(1,3,2,5) x x = c(1,6,2) x y = c(1,4,3) length(x) length(y) x+y ls() rm(x,y) ls() rm(list=ls()) ?matrix x ...