Bayesian statistics updates probability estimates as new evidence emerges, using prior knowledge and data to refine predictions. It’s applied in machine learning, medical trials, and A/B testing. Researchers, data scientists, and analysts benefit by making informed decisions under uncertainty, improving model accuracy, and adapting insights dynamically as information evolves.
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