gradient descent
Gradient descent is a method of minimizing the machine learning model cost function in linear regression models. In the gradient descent method, the (internal) parameters of the ML model are tuned over several training iterations by taking gradual "steps" down a slope in the function graph, aiming towards a minimum error value. The following methods ... Read more
