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Subjects
Data mining, Mathematical statistics, Statistics, Artificial intelligence, Bioinformatics, Machine learning, Inference, Forecasting, Computational intelligence, Methodology, Electronic data processing, Supervised learning (Machine learning), Biology, Data processing, Supervised learning (machine learning), Biology--data processing, Statistics as topic, Computational biology, Mathematical computing, Q325.75 .h37 2009, 006.3'1 22, Intelligence (ai) & semantics, Machine theory, Logic, Future studies, General, Computer science, Professional, career & trade -> computer science -> intelligence (ai) & semantics, Professional, career & trade -> computer science -> database management, Professional, career & trade -> computer science -> machine theory, Social sciences -> philosophy -> logic & critical reasoning, Social sciences -> social sciences -> future studies, Mathematics & statistics -> mathematics -> probability, Professional, career & trade -> computer science -> special topics, Scm27004, Sci18030, Scs11001, Suco11649, Sci23050, Scl17004, Sci21017, Biological sciences & nutrition -> biology -> life sciences general, Professional, career & trade -> computer science -> computer science, Sci21000, 2970, 3820, 2923, 3921, 2912Showing 1 featured edition. View all 1 editions?
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
2009, Springer-Verlag New York
electronic resource :
in English
0387848576 9780387848570
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Feedback?December 19, 2023 | Edited by ImportBot | import existing book |
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