What is 'Ensemble Learning'?

What is 'Ensemble Learning'?

Approach: Describe combining multiple models to improve performance.

A machine learning paradigm where multiple models (often called 'weak learners') are trained to solve the same problem and combined to get better results.

Follow-up: What is stacking?

Key concepts: bagging, boosting, stacking.