Within the ever-evolving landscape of synthetic intelligence and machine Discovering, algorithms serve as the backbone of innovation. Among them, one stands out as arguably essentially the most crucial: gradient descent. This optimization algorithm powers everything from uncomplicated linear regression to sophisticated neural networks that travel m