Minimum Mean Square Error (MMSE) is an estimation technique that aims to minimize the average of the squares of the errors between estimated and actual values, ensuring the most accurate prediction or estimation. It is widely used in signal processing, statistics, and machine learning to optimize performance and reduce noise in data analysis.