ISBN 13 : 978-3-031-38746-3

Contents :
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

Nbre volumes : 0

Language : English

Location : Nice Library

Material : Paper

Statement : Présent

Owner : Bibliothèque