EXPLORING GRADIENT DESCENT IN MACHINE LEARNING

Gradient descent serves as a fundamental technique in machine learning. It aids models to optimize their parameters by iteratively reducing the cost. This strategy involves determining 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 model app