A probabilistic model is a mathematical framework that uses the language of 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 and Statistics, providing a structured way to understand randomness and make informed decisions.