+A **probabilistic model** is a mathematical framework that uses the language of [Probability](/wiki/probability) to describe observed data and underlying processes. It quantifies uncertainty, allowing for predictions and inferences about future events or hidden states. These models are fundamental in fields like [Machine Learning](/wiki/machine_learning) and [Statistics](/wiki/statistics), providing a structured way to understand randomness and make informed decisions.
+## See also
+- [Probability](/wiki/probability)
+- [Bayesian Inference](/wiki/bayesian_inference)
+- [Data Science](/wiki/data_science)
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