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Viser: The Elements of Statistical Learning - Data Mining, Inference, and Prediction
The Elements of Statistical Learning Vital Source e-bog
Trevor Hastie, Robert Tibshirani og Jerome Friedman
(2009)
The Elements of Statistical Learning Vital Source e-bog
Trevor Hastie, Robert Tibshirani og Jerome Friedman
(2009)
The Elements of Statistical Learning Vital Source e-bog
Trevor Hastie, Robert Tibshirani og Jerome Friedman
(2009)
The Elements of Statistical Learning
Data Mining, Inference, and Prediction
Trevor Hastie, Robert Tibshirani, Jerome Friedman og J. H. Friedman
(2017)
Sprog: Engelsk
om ca. 2 hverdage
Detaljer om varen
- 2. Udgave
- Vital Source searchable e-book (Fixed pages)
- Udgiver: Springer Nature (August 2009)
- Forfattere: Trevor Hastie, Robert Tibshirani og Jerome Friedman
- ISBN: 9780387848587
Bookshelf online: 365 dage fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 75 sider kan printes ad gangen
Copy: højest 75 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 2. Udgave
- Vital Source 365 day rentals (fixed pages)
- Udgiver: Springer Nature (August 2009)
- Forfattere: Trevor Hastie, Robert Tibshirani og Jerome Friedman
- ISBN: 9780387848587R365
Online udgaven er tilgængelig: 365 dage fra købsdato.
Offline udgaven er tilgængelig: 365 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 75 sider kan printes ad gangen
Copy: højest 75 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 2. Udgave
- Vital Source 180 day rentals (fixed pages)
- Udgiver: Springer Nature (August 2009)
- Forfattere: Trevor Hastie, Robert Tibshirani og Jerome Friedman
- ISBN: 9780387848587R180
Online udgaven er tilgængelig: 180 dage fra købsdato.
Offline udgaven er tilgængelig: 180 dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 75 sider kan printes ad gangen
Copy: højest 75 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- 2. Udgave
- Hardback
- Udgiver: Springer New York (April 2017)
- Forfattere: Trevor Hastie, Robert Tibshirani, Jerome Friedman og J. H. Friedman
- ISBN: 9780387848570
This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book.
This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorisation, and spectral clustering. There is also a chapter on methods for "wide'' data (p bigger than n), including multiple testing and false discovery rates.
- 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. - Unsupervised learning.