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January 1, 20182,991 citationsOpen Access

An Introduction to Statistical Learning: with Applications in R

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GJGareth JamesDWDaniela WittenTHTrevor Hastie

Key Points

  • To provide an introductory overview of statistical learning methods suitable for students in non-mathematical disciplines.
  • Focuses on statistical learning techniques including regression and classification.
  • Designed for students at undergraduate and graduate levels.
  • Equips students with foundational knowledge in statistical learning for practical data analysis.
  • Demonstrates application of techniques using R programming.

Abstract

This book provides an introduction to statistical learning methods and is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences.

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Cite This Study

James et al. (2018) studied this question.

synapsesocial.com/papers/6a5af91c3c797f41ebf6a7cfhttps://doi.org/10.25334/q4ht55
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