CONSIDéRATIONS à SAVOIR SUR SOUMISSION AUTOMATIQUE

It is the process of improving raw data to make it more suitable intuition model training, thereby enhancing model performance.This type of learning is based nous trial and error. Instead of learning from a fixed dataset, the system interacts with its environment, makes decisions, and receives feedback through rewards or penalties. Over time, it re