The Elements of Statistical Learning: Data Mining, Inference, and Prediction
by Trevor Hastie, Robert Tibshirani, Jerome Friedman
4.5
2001 · 549 pages
About The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Describes important statistical ideas in machine learning, data mining, and bioinformatics. Covers a broad range, from supervised learning (prediction), to unsupervised learning, including classification trees, neural networks, and support vector machines.
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