Bayesian Inference
Bayesian Inference is a statistical method that uses Bayes' theorem to update the probability of a hypothesis as more evidence or data becomes available. It involves the use of prior knowledge or beliefs about the hypothesis and the likelihood of observing the data given the hypothesis to compute the posterior probability of the hypothesis. Bayesian Inference is widely used in machine learning, data analysis, and artificial intelligence to make predictions, estimate parameters, and model complex systems. It allows for the incorporation of uncertainty and variability in the data and provides a framework for decision-making under uncertainty.
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