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The Elements of Statistical Learning
Trevor Hastie, Robert Tibshirani, Jerome Friedman · 2001 · 549 pages
Supervised learning (Machine learning)Database managementArtificial Intelligence (incl. Robotics)StatisticsArtificial intelligenceBiology
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About this book
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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