In the ever-evolving landscape of synthetic intelligence and device Mastering, algorithms function the backbone of innovation. Among them, 1 stands out as arguably by far the most critical: gradient descent. This optimization algorithm powers almost everything from straightforward linear regression to complicated neural networks that drive modern-d