How Bayesian Networks Work — Graphs, Probability, and Inference

Bayesian Networks can feel confusing because they combine two things at once. Graphs show structure. Probabilities show uncertainty. The key is to see them as one model, not two separate topics. Core Idea A Bayesian Network represents relationships between variables using a directed graph. Each node is a variable. Each edge shows a dependency. Each node also has probability values that explain how it behaves under different conditions. So the model is not just a diagram. It is a structured proba