Statistical Methods for Data Science
The Bernoulli distribution is a discrete probability distribution that describes the outcome of a single binary experiment, where there are only two possible outcomes: success or failure. This distribution is foundational in probability and statistics, as it serves as a building block for more complex distributions, including the binomial distribution. In the context of Bayesian inference, it helps in modeling situations with binary outcomes and updating beliefs based on observed data.
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