EXPLORING GRADIENT DESCENT IN MACHINE LEARNING

Gradient descent plays the role of a fundamental algorithm in machine learning. It facilitates models to adjust their parameters by iteratively decreasing the cost. This approach involves determining the gradient of the objective function, which signals the direction of steepest ascent. By adjusting the parameters in the contrary direction of the g