#### An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics) by Gareth James

###### Gareth James with An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

- The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
- Applied Predictive Modeling
- R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
- Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
- Deep Learning (Adaptive Computation and Machine Learning series)
- Practical Statistics for Data Scientists: 50 Essential Concepts
- R for Everyone: Advanced Analytics and Graphics (2nd Edition) (Addison-Wesley Data & Analytics Series)
- Pattern Recognition and Machine Learning (Information Science and Statistics)
- Machine Learning with R - Second Edition: Expert techniques for predictive modeling to solve all your data analysis problems
- The Art of R Programming: A Tour of Statistical Software Design