What does Bayes' Theorem describe?

Bayes' Theorem describes the relationship between the probability of an event and the conditions or evidence related to that event. Specifically, it provides a way to update the probability of a hypothesis as more evidence or information becomes available. By using prior knowledge (the initial probability of the event) and the likelihood of new evidence given that hypothesis, Bayes' Theorem allows analysts to refine their understanding of uncertain situations.

In practical terms, this theorem is widely used in fields such as statistics, machine learning, and Artificial Intelligence, allowing professionals to make better-informed decisions based on preceding data and observations. This understanding helps incorporate new data into existing models, ultimately aiding in more accurate predictions and analyses.