Warenkorb
Ihnen fehlen nur noch CHF89.00 bis zum kostenlosen Versand.
Ihr Warenkorb ist leer.
Shop Now
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
CHF11315
Sie sparen:
CHF36.35
CHF14950
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
BS12999347
Column filling
| Ordnen nach Preis | Ordnen nach Verfügbarkeit | Ordnen nach Artikelnummer | Ordnen nach Formatieren |
|---|---|---|---|
|
CHF11315
CHF14950
|
Auf Lager
|
BS12999347
|
Formatieren:
|
CHF570
|
Nicht auf Lager
|
BS12999348
|
Formatieren:
|
Beschreibung
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.
Eigenschaften
Abmessungen
23.62 x 15.24 x 3.56 cm
Auflage
Second Edition 2009
Erscheinungstermin
9. Februar 2009
Formatieren
Gebundenes Buch
ISBN-10
0387848576
ISBN-13
978-0387848570
Sprache
Englisch
Bewertungen
Keine Bewertungen gefunden
Bitte melden Sie sich an, damit wir Sie über eine Antwort benachrichtigen können