in machine learning and statistics, the learning rate is a tuning parameter in an optimization algorithm that determines the step size at each iteration while moving toward a minimum of a loss function. since it influences to what extent newly acquired information overrides old information, it metaphorically represents the speed at which a machine learning model "learns." the learning rate is often denoted by the character η or α.