An edition of The Elements of Statistical Learning (2009)
The Elements of Statistical Learning
Data Mining, Inference, and Prediction
By Jerome Friedman,Robert Tibshirani
Publish Date
2009
Publisher
Springer-Verlag New York
Language
eng
Pages
745
Description:
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