Inside the ever-evolving landscape of synthetic intelligence and machine learning, algorithms serve as the backbone of innovation. Among them, a single stands out as arguably the most important: gradient descent. This optimization algorithm powers anything from very simple linear regression to complex neural networks that push modern-day AI programs like https://www.youtube.com/watch?v=ukDKssVrU4Q