The elements of statistical learning : data mining, inference, and prediction /
Hastie, Trevor,
The elements of statistical learning : data mining, inference, and prediction / - Second edition. - 1 online resource (xxii, 745 pages) : illustrations. - Springer series in statistics, 2197-568X .
Includes bibliographical references and indexes.
Introduction -- Overview of Supervised Learning -- Linear Methods for Regression -- Linear Methods for Classification -- Basis Expansions and Regularization -- Kernel Smoothing Methods -- Model Assessment and Selection -- Model Inference and Averaging -- Additive Models, Trees, and Related Methods -- Boosting and Additive Trees -- Neural Networks -- Support Vector Machines and Flexible Discriminants --Prototype Methods and Nearest-Neighbors -- Prototype Methods and Nearest-Neighbors -- Random Forests -- Random Forests -- Random Forests -- High-Dimensional Problems: p N -- References -- Index.
Available on-campus and off-campus.
9780387848587
Machine learning.
Statistics--methodology.
Data mining.
Bioinformatics.
Computational intelligence.
Electronic books
The elements of statistical learning : data mining, inference, and prediction / - Second edition. - 1 online resource (xxii, 745 pages) : illustrations. - Springer series in statistics, 2197-568X .
Includes bibliographical references and indexes.
Introduction -- Overview of Supervised Learning -- Linear Methods for Regression -- Linear Methods for Classification -- Basis Expansions and Regularization -- Kernel Smoothing Methods -- Model Assessment and Selection -- Model Inference and Averaging -- Additive Models, Trees, and Related Methods -- Boosting and Additive Trees -- Neural Networks -- Support Vector Machines and Flexible Discriminants --Prototype Methods and Nearest-Neighbors -- Prototype Methods and Nearest-Neighbors -- Random Forests -- Random Forests -- Random Forests -- High-Dimensional Problems: p N -- References -- Index.
Available on-campus and off-campus.
9780387848587
Machine learning.
Statistics--methodology.
Data mining.
Bioinformatics.
Computational intelligence.
Electronic books