An Introduction to Statistical Learning with Applications. R. G. James, D. Witten, T. Hastie, and R. Tibshirani (2013). Berlin: Springer. 440 pages, ISBN: 978‐1‐4614‐7138‐7.

By Andreas Ziegler. 2016

255 citations recorded by the source corpus.

Subfields: Statistics and Probability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

1. Georg Martius
2. Yuxi Li
3. Michal Rolinek
4. Dominik Zietlow

Citations in the corpus

• Variational Autoencoders Pursue PCA Directions (by Accident) (2018, methodology): “This decomposition resembles the classical bias-variance decomposition of the square error [20].”
• Deep Reinforcement Learning: An Overview (2017, background): “We do not discuss some interesting applications, like music generation (Briot et al., 2017; Jaques et al., 2017), and retrosynthesis (Segler et al., 2017).”