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

Book Title: An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

Publisher: Springer

ISBN: 1461471370

Author: Gareth James

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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