EXPLORING GRADIENT DESCENT IN MACHINE LEARNING

Gradient descent is a fundamental algorithm in machine learning. It facilitates models to optimize their parameters by iteratively minimizing the error. This approach involves determining the gradient of the objective function, which signals the direction of steepest ascent. By shifting the parameters in the contrary direction of the gradient, the