Linear regression is a simple yet effective supervised learning algorithm that finds applications in various fields. It is less data-hungry and performs well even…
Browsing: Regularization
This article discusses ways to prevent overfitting in machine learning models, including understanding the problem, selecting appropriate algorithms, feature selection, and regularization techniques such…
Recent research has explored how generalization error improves in Deep Neural Networks by increasing model capacity, contrary to the bias-variance tradeoff. It has been…