0
0
Amalivre - Appel du livre Pro
Facebook Amalivre - Appel du livre
The Elements of Statistical Learning : Data Mining, Inference, and Prediction, Second Edition

The Elements of Statistical Learning : Data Mining, Inference, and Prediction, Second Edition

Auteur(s) : Trevor Hastie (Auteur), Robert Tibshirani (Auteur), Jerome Friedman (Auteur)
Editeur(s) : Springer US
Rayon(s) : Informatique, Sciences


Public(s) : Public motivé
Ean : 9780387848570
Date de parution : 09/02/2009

Résumé :

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.

Commandable, envoyé en 4 à 6 jours
84,65 €
Notre librairie est en cours de déménagement. Nous ne sommes pas en mesure des traiter les commandes actuellement. Veuillez nous excuser pour la gêne occasionnée.

Livraison à partir de 4 € en France métropolitaine