Elements of Statistical Learning

Elements of Statistical Learning
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.
Descrierea produsului
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.
Detaliile produsului
- Cod: BRT9780387848570
- Categoria: General
- Categoria: Applications of computing
- Categoria: Intelligence (ai) & Semantics
- Categoria: Data Mining
- Format: 242 x 164 x 37 mm
- Editie: Hardcover
- Autor: Trevor Hastie
- An aparitie: 2009
- Nr. pagini: 745
- Editura: Springer
- Limba: English