From the ever-evolving landscape of synthetic intelligence and device learning, algorithms function the spine of innovation. Among the them, one stands out as arguably by far the most important: gradient descent. This optimization algorithm powers everything from easy linear regression to advanced neural networks that push contemporary AI purposes like https://www.youtube.com/watch?v=ukDKssVrU4Q