In the at any time-evolving landscape of synthetic intelligence and equipment Studying, algorithms serve as the spine of innovation. Among the them, one stands out as arguably one of the most critical: gradient descent. This optimization algorithm powers anything from easy linear regression to complex neural networks that travel modern-day AI apps