During the ever-evolving landscape of synthetic intelligence and machine learning, algorithms serve as the backbone of innovation. Amid them, just one stands out as arguably by far the most critical: gradient descent. This optimization algorithm powers all the things from easy linear regression to complex neural networks that push fashionable AI pu