The Least Mean Squares Algorithm

The Least Mean Squares (LMS) algorithm is a method used to help a system learn how to make accurate predictions or decisions by adjusting its parameters. Think of it like tuning a musical instrument: the algorithm compares its current output to the actual desired result, then tweaks the settings slightly to reduce the difference. Over time, these small adjustments enable the system to better predict or respond to new data. LMS is widely used in signal processing and adaptive filtering because of its simplicity and efficiency in continuously learning from ongoing data.