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