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Learn how the naive Bayes classifier algorithm works in machine learning by understanding the Bayes theorem with real life examples. Bayes’ theorem is fundamental to Bayesian inference. It is a subset of statistics, providing a mathematical framework for forming inferences through the concept of probability, in which evidence about the true state of the world is expressed in terms of degrees of belief through subjectively assessed numerical probabilities.

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