Bayesian Network

A Bayesian network is a graphical model that represents relationships between different variables using nodes (circles) and arrows. Each node stands for a variable, and arrows indicate how one variable influences another. It allows us to update our beliefs about certain variables based on new information, using probabilities. For example, it can show how weather conditions affect the chance of carrying an umbrella. Bayesian networks help in understanding complex systems, making predictions, and reasoning under uncertainty by combining prior knowledge with observed data efficiently.