MAP estimation

Maximum A Posteriori (MAP) estimation is a method used to find the most probable explanation or prediction based on both the observed data and prior knowledge. It combines what we already believe with new evidence to identify the most likely outcome. Think of it as updating your belief after seeing new information, aiming to pick the option with the highest combined probability. This approach is useful in machine learning and statistics when making decisions or predictions that balance prior assumptions with actual data.