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The elements of statistical learning : data mining, inference, and prediction
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The elements of statistical learning : data mining, inference, and prediction

by Trevor Hastie, Robert Tibshirani, Jerome Friedman

This text provides a conceptual framework for machine learning and data mining, covering supervised and unsupervised learning techniques. Topics include neural networks, random forests, and graphical models, with an emphasis on conceptual clarity and colour graphics.

Accession 9371 ISBN 0387952845 Publisher Springer
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Communication Computer Science Culture Economics Education Learning Mathematics Philosophy Prediction Psychology Science Social Sciences Technology
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2026-06-01 16:33
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M:N3:7 4 Current vertical
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Trevor Hastie, Robert Tibshirani, Jerome Friedman
tags→ tags
Science, Mathematics, Philosophy, Social sciences, Civilisation, Sociology, Communication, Knowledge, Theory of, Reason, Rationalism, Prediction theory, Stochastic processes, Probabilities, Statistics, Machine learning, Artificial intelligence, Cognitive science, Data mining, Database searching, Electronic information resource searching, Information retrieval, Information science, Computational learning theory, Reasoning, Inference
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