Statistical Mechanics
Bayesian inference is a statistical method that applies Bayes' theorem to update the probability of a hypothesis as more evidence or information becomes available. This approach allows for a systematic way to incorporate prior beliefs or knowledge and adjust them with new data, making it particularly powerful in scenarios where uncertainty is present. It is especially relevant in fields such as machine learning, statistics, and scientific research, where data-driven decisions are crucial.
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