Statistics with R for Machine Learning: Volume 2
Advanced Resampling Techniques with R for Machine Learning
Inbunden, Engelska, 2026
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Beskrivning
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.
