Bayes' Theorem is a mathematical formula that describes how to update the probability of a hypothesis based on new evidence. It connects conditional probabilities, allowing us to revise our beliefs about an event when we acquire new information. This theorem is particularly useful in various fields such as medicine, finance, and machine learning, where decision-making often relies on prior knowledge and new data.
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