The LMS (Least Mean Squares) Algorithm is an adaptive filter algorithm used to find the coefficients that minimize the mean square error between the desired and actual signal. It is widely used in applications like echo cancellation, noise reduction, and system identification due to its simplicity and computational efficiency.