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

English | 2025 | ISBN: 978-1779564719 | 185 Pages | PDF | 10 MB

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.