Probabilistic Inference

Probabilistic inference is a process of using known information to estimate the likelihood of unknown events or conditions. It involves updating our beliefs based on new evidence, often through mathematical models. For example, if a doctor knows symptoms and medical test results, probabilistic inference helps determine the most likely diagnosis. It’s used in many fields, including weather forecasting and machine learning, to make informed predictions when certainty isn't possible. Essentially, it's about reasoning under uncertainty—drawing the best possible conclusions given incomplete or uncertain data.