EXPLORING GRADIENT DESCENT IN MACHINE LEARNING

Gradient descent is a fundamental algorithm in machine learning. It facilitates models to adjust their parameters by iteratively minimizing the error. This strategy involves estimating the gradient of the error metric, which highlights the direction of steepest ascent. By shifting the parameters in the opposite direction of the gradient, the model