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

By Mohsen Nady

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.

• Format: Library Binding
• Language: English
• ISBN: 1779564716
• ISBN13: 9781779564719
• Release Date: January 2025
• Publisher: Arcler Press
• Length: 185 Pages
• Weight: 0.85 lbs.
• Dimensions: 0.6" x 6.1" x 9.1"