Gradient descent plays the role of a fundamental technique in machine learning. It aids models to refine their parameters by iteratively decreasing the cost. This process involves estimating the gradient of the error metric, which signals the direction of steepest ascent. By adjusting the parameters in the contrary direction of the gradient, the mo… Read More