
gradient descent
/ˌɡreɪdiənt dɪˈsent/
An optimization algorithm that minimizes error iteratively
“Gradient descent adjusts weights to reduce the loss function.”
Origin: From Latin gradus (step) + descendere (to go down), from de- (down) + scandere (to climb)