From the ever-evolving landscape of synthetic intelligence and machine Discovering, algorithms serve as the backbone of innovation. Between them, 1 stands out as arguably probably the most critical: gradient descent. This optimization algorithm powers everything from very simple linear regression to elaborate neural networks that push modern-day AI