ISBN 13 : 978-1-0716-1420-4

Contents :
Preface
1 Introduction
2 Statistical Learning
3 Linear Regression
4 Classification
5 Resampling Methods
6 Linear Model Selection and Regularization
7 Moving Beyond Linearity
8 Tree-Based Methods
9 Support Vector Machines
10 Deep Learning
11 Survival Analysis and Censored Data
12 Unsupervised Learning
13 Multiple Testing
Index.

Language : English

Series : SPRINGER TEXTS IN STATISTICS

Print : 2nd

Location : Nice Library

Material : Paper

Statement : Présent

Owner : Bibliothèque