Détails, Fiction et Dépôt de messages
It applies Bayes’ theorem to calculate the likelihood that a data cote belongs to a specific category based nous prior knowledge.This type of learning is based on trial and error. Instead of learning from a fixed dataset, the system interacts with its environment, makes decisions, and receives feedback through rewards pépite penalties. Over time