EXPLORING GRADIENT DESCENT IN MACHINE LEARNING

Gradient descent serves as a fundamental technique in machine learning. It aids models to refine their parameters by iteratively reducing the loss function. This approach involves calculating the gradient of the loss function, which indicates the direction of steepest ascent. By shifting the parameters in the contrary direction of the gradient, the