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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.
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Previews available in: English
Subjects
Supervised learning (Machine learning), Database management, Artificial Intelligence (incl. Robotics), Statistics, Artificial intelligence, Biology, Data processing, Computer science, Mathematical statistics, Computer Appl. in Life Sciences, Probability and Statistics in Computer Science, Statistical Theory and Methods, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Computational biology--methods, Statistics as topic--methods, Data interpretation, statistical, Q325.75 .h37 2001, 006.3/1, Computational Biology, Methods, Statistics as Topic, Statistical Data InterpretationShowing 6 featured editions. View all 6 editions?
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1
Elements of Statistical Learning: Data Mining, Inference, and Prediction
2013, Springer London, Limited
in English
0387216065 9780387216065
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3
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
Nov 01, 2008, Springer
paperback
0387848843 9780387848846
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5
The elements of statistical learning: data mining, inference, and prediction : with 200 full-color illustrations
2001, Springer
in English
0387952845 9780387952840
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6
The elements of statistical learning: data mining, inference, and prediction
2001, Springer
in English
0387952845 9780387952840
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zzzz
Libraries near you:
WorldCat
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Book Details
Edition Notes
Source title: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
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