Probability Theory, Conditional Probability, Bayes Theorem, Mathematics.
probabilistic models. These models can self-adjust and learn with incoming data, making algorithmic predictions more accurate. For instance, in spam filter technologies, by learning and analyzing the characteristics of known spam and non-spam emails, models can predict the likelihood of a new email