Explore 5 AI terms in Bayesian Methods
Bayes' Theorem is a mathematical formula used to calculate conditional probabilities, fundamental in statistics and machine learning.
A Bayesian Belief Network (BBN) is a graphical model that represents probabilistic relationships among variables.
A Beta Distribution Prior is a statistical model used in Bayesian statistics to represent beliefs about probabilities.
A Dynamic Bayesian Network (DBN) models temporal processes using probability and graphical structures.
A Gaussian Process is a statistical method used for making predictions about uncertain functions.