Neural Networks, Gradient Descent.
first derivative of the function (f’(x) = dx/dy) in the case of single-parameter functions like the x²-16 function. For multi-parameter functions like f(x, y) = x² + 3xy, it is the vector of the partial derivative of the function for each of its parameters (represented as a matrix ∇, example for