Gradient Descent is a method for unconstrained mathematical optimization . It is a first-order iterative algorithm for minimizing a differentiable multivariate function. The basic idea of the gradient descent algorithm is to take repeated steps in the opposite direction of the gradient of the function at the current point, which leads to a path that eventually minimizes the objective function. Gradient descent is one of the most popular algorithms in machine learning and artificial intel...