Probabilistic models are mathematical frameworks that help us understand and predict uncertain events by using probabilities. They allow us to represent complex systems and make informed decisions based on the likelihood of various outcomes. For example, in weather forecasting, probabilistic models can estimate the chance of rain, helping people plan their day. These models are widely used in various fields, including finance, machine learning, and healthcare. By incorporating randomness and uncertainty, they provide a more realistic view of the world. For instance, in healthcare, probabilistic models can predict the likelihood of disease progression, aiding doctors in making better treatment decisions.