EXPLORING GRADIENT DESCENT IN MACHINE LEARNING

Gradient descent serves as a fundamental algorithm in machine learning. It facilitates models to optimize their parameters by iteratively minimizing the error. This process involves calculating the gradient of the error metric, which indicates the direction of steepest ascent. By moving the parameters in the opposite direction of the gradient, the