Bayes’ Theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event. For example, if cancer is related to age, then, using Bayes’ theorem, a person’s age can be used to more accurately assess the probability that they have cancer than can be done without the knowledge of the person’s age.

Chain rule for Bayesian probability can be used to predict the likelihood of the next word in the sentence.

# What is Bayes’ Theorem? State at least 1 use case with respect to the machine learning context?