Machine Learning & Training

What Is Ensemble Learning?

Ensemble learning combines the predictions of multiple models to achieve better performance than any individual model. By aggregating diverse models, ensembles can reduce errors and improve robustness. Common techniques include bagging, boosting, and stacking.