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The Elements of Statistical Learning: Data Mining, Inference, and Prediction

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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. DLC: Supervised learning (Machine learning).

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