Meaning of Ensemble Learning

Simple definition

Ensemble learning is a machine learning technique that combines the predictions of multiple models to improve accuracy, robustness, and performance.

How to use Ensemble Learning in a professional context

It is widely used in finance, healthcare, and recommendation systems to enhance predictions and reduce the chances of errors by leveraging diverse models like decision trees, neural networks, and regression algorithms.

Concrete example of Ensemble Learning

A credit scoring system uses an ensemble of decision trees (random forest) and gradient boosting to determine whether to approve or reject a loan application with greater accuracy.