EXPLORING GRADIENT DESCENT IN MACHINE LEARNING

Gradient descent serves as a fundamental algorithm in machine learning. It enables models to adjust their parameters by iteratively decreasing the error. This strategy involves determining the gradient of the error metric, which indicates the direction of steepest ascent. By shifting the parameters in the inverse direction of the gradient, the mode