Conditional Probability: Bayes Theorem

This lecture covers the concept of conditional probability, focusing on the central idea of how the probability of an event changes when another event has occurred. It explains the definition of conditional probability, theorems of total probability, and Bayes. Through examples, it illustrates how to apply Bayes' theorem in real-life scenarios, such as medical testing, to calculate the probability of an event given certain conditions.