Bayes' theorem

Bayes' Theorem is a core formula in probability theory that describes the relationship between conditional probabilities. Its essence is using new evidence to dynamically update your initial (prior) belief about a hypothesis, which gives you the updated (posterior) probability. This theorem isn't just the foundation of Bayesian inference in statistics—it’s also widely used in areas like machine learning, medical diagnosis, and spam filtering.