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

Mohsen Nady (Author)

9781779564719

Hardback, published 31 March 2026

185 pages
22.9 x 15.2 x 1.5 cm, 0.666 kg

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 volume is an essential resource for data scientists and machine learning enthusiasts aiming to master resampling strategies.