In the ever-evolving landscape of synthetic intelligence and machine learning, algorithms serve as the backbone of innovation. Between them, 1 stands out as arguably the most vital: gradient descent. This optimization algorithm powers everything from straightforward linear regression to intricate neural networks that push fashionable AI purposes li