From the ever-evolving landscape of synthetic intelligence and device learning, algorithms serve as the backbone of innovation. Between them, a person stands out as arguably probably the most important: gradient descent. This optimization algorithm powers anything from easy linear regression to elaborate neural networks that travel modern-day AI programs like https://www.youtube.com/watch?v=ukDKssVrU4Q