Gradient descent plays the role of a fundamental method in machine learning. It facilitates models to refine their parameters by iteratively reducing the cost. This strategy involves estimating the gradient of the objective function, which signals the direction of steepest ascent. By adjusting the parameters in the contrary direction of the gradien… Read More