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The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani , Jerome Friedman
The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani , Jerome Friedman
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani , Jerome Friedman
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✅ Premium Off-White Cream Pages
✅ Stitched Binding
✅ Matte Cover
✅ Local Premium Copy
✅ Language - English
✅ Dimensions - 5.5 x 8.26 inches
✅ Pages Amount 545
✅ Summary
The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani, and Jerome Friedman is a comprehensive and mathematically rigorous textbook on statistical learning. It covers a wide range of advanced topics including regression, classification, neural networks, support vector machines, and ensemble methods, with a strong focus on the theory behind modern data mining and machine learning techniques.
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