EXPLORING GRADIENT DESCENT IN MACHINE LEARNING

Gradient descent is a fundamental algorithm in machine learning. It aids models to optimize their parameters by iteratively reducing the cost. This approach involves estimating the gradient of the loss function, which highlights the direction of steepest ascent. By moving the parameters in the opposite direction of the gradient, the model approache