[Book]
AN INTRODUCTION TO STATISTICAL LEARNING: WITH APPLICATIONS IN R
Author(s) :
James,Gareth, Witten,Daniela, Hastie,Trevor, Tibshirani,Robert
Edition :
2
ISBN :
9781071614174
Call No :
519.2,JAM
Publication Year :
2021
Publication Place :
New York
Medium :
English
Publisher :
Springer
Abstract :
This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines,
Keywords :
Statistical Learning, Linear Regression, Classification, Resampling Methods, Linear Model Selection, Regularization, Moving Beyond Linearity, Tree-Based Methods, Support Vector Machines, Deep Learning, Survival Analysis, Censored Data, Unsupervised Learning, Multiple Testing
Subject :
Statistics
| Accession No | Description | Status |
| 28034 |
Permanent Reference
| Available |
| 28036 |
| Available |
| 28035 |
Reference Only
| Available |