Statistics with R for Machine Learning: Volume 2 Advanced Resampling Techniques with R for Machine Learning

Mohsen Nady

• Publisher: Arcler Press
• Year: 2025
• eBook ISBN: 9781779566782
• Edition: 0

Resampling techniques are key to improving model performance and reliability in machine learning. This volume explores advanced resampling methods, including cross-validation, bootstrapping, and hyperparameter tuning, using R. Readers will learn how to apply these techniques to optimize model accuracy and prevent overfitting. Practical examples and case studies illustrate their real-world applications. This voulme is an essential resource for data scientists and machine learning enthusiasts aiming to master resampling strategies.

Table of contents

• Cover
• Title Page
• Copyright
• ABOUT THE AUTHOR
• TABLE OF CONTENTS
• List of Tables
• Preface
• Chapter 1 Stratified Resampling
• Chapter 2 Time-Based Resampling
• Bibliography
• Index
• Back Cover