Bayesian analysis is a statistical method that updates the probability for a hypothesis as more evidence becomes available. It uses Bayes' theorem to revise initial beliefs (prior probabilities) in light of new data, leading to updated beliefs (posterior probabilities). It's commonly used in machine learning, spam filtering, medical diagnosis, and risk assessment, where incorporating prior knowledge and updating beliefs based on evidence are crucial.
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