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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, 2912| Edition | Availability |
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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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- Created July 28, 2014
- 19 revisions
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| March 28, 2025 | Edited by ImportBot | Redacting ocaids |
| December 19, 2023 | Edited by ImportBot | import existing book |
| December 19, 2023 | Edited by ImportBot | import existing book |
| November 30, 2023 | Edited by MARC Bot | import existing book |
| July 28, 2014 | Created by ImportBot | Imported from Internet Archive item record |

