Peter H. Bayes

Peter H. Bayes was a mathematician known for developing Bayes' Theorem, a way to update the probability of an event based on new evidence. It helps us revise our beliefs when we gain additional information, making predictions more accurate. For example, it can be used in medical testing to determine the likelihood someone has a disease after their test results, considering how common the disease is and the test's accuracy. Bayes' work provides a systematic approach to reasoning under uncertainty, widely applied in statistics, machine learning, and decision-making.