Elements of Statistical Learning – Trevor Hastie, Robert Tibshirani & Jerome Friedman
$62.09
In Stock
A comprehensive and mathematically rigorous guide to statistical learning methods, blending classical statistics with modern machine learning techniques for data analysis and prediction.
- ✅ Covers a wide range of supervised and unsupervised learning methods
- ✅ Explains the statistical theory behind algorithms with detailed derivations
- ✅ Includes numerous real-world examples and case studies
- ✅ Offers insights into model selection, regularization, and bias-variance tradeoffs