Bayesian methods are statistical inference techniques that use Bayes' theorem to update the probability for a hypothesis as more evidence or information becomes available. They are widely used in machine learning, data analysis, and decision-making under uncertainty, allowing for the incorporation of prior beliefs and the updating of these beliefs with new data.
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