What is Bayesian Networks?

Bayesian Networks (also known as Bayes nets, Bayesian belief networks, or decision networks) are probabilistic graphical models that represent the probabilistic dependencies among a set of variables and use Bayesian inference for probability computations. They are commonly used for risk analysis, medical diagnosis, fraud detection, and predictive modeling. They are particularly useful for handling uncertainty and making predictions or decisions under incomplete information.