EXPLORING GRADIENT DESCENT IN MACHINE LEARNING

Gradient descent is a fundamental technique in machine learning. It aids models to adjust their parameters by iteratively reducing the cost. This strategy involves calculating the gradient of the objective function, which signals the direction of steepest ascent. By moving the parameters in the opposite direction of the gradient, the model finds a