6. Glossary

Decision trees

It is an algorithm that makes decisions like a multiple-choice questionnaire (example: If age > 30 → then look at purchase history to suggest a product).

Deep Learning

Based on how the brain works, these networks are composed of "layers" of artificial neurons. They enable the analysis of highly complex data (images, voices, texts, etc.) and automatically learn the right criteria (e.g., recognizing a face in a photo or automatically translating a sentence).

Random forest

A set of several decision trees that vote for the best answer. The advantage of the forest is that it is more robust and generates fewer errors than a single tree.

Low-risk AI

An AI system described as "low risk" is one that does not...