Boosting AI: Leveraging Top Gradient Boosting Frameworks for Advanced Machine Learning

Gradient Boosting is a powerful machine learning technique used for both regression and classification problems. It builds on the idea of boosting, where weak learners (typically decision trees) are sequentially added, and each new learner corrects the errors made by the previous ones.

How Gradient Boosting Works