It applies Bayes’ theorem to calculate the likelihood that a data centre belongs to a specific category based on 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 or penalties. Over time, it