Bangdiwala's B

Bangdiwala's b (also called Bayesian networks) is a way of representing relationships and probabilities between different things. It works by representing connections between different objects (called nodes) in a graph or network. Each node can represent a different thing, like a person, a place, an event, or a number. Each node is connected by arrows that show the relationships between the different things. The arrows often have a number (called a probability) associated with them, which represents how likely it is that something will happen. For example, a graph of people living in a city might have an arrow between two people showing how often they hang out together, and the number on the arrow could represent the probability that they will hang out together. By connecting all the nodes in this way, you can get an understanding of how everything is related and how likely different things are to happen.