Within the ever-evolving landscape of synthetic intelligence and device learning, algorithms serve as the backbone of innovation. Between them, 1 stands out as arguably essentially the most very important: gradient descent. This optimization algorithm powers almost everything from uncomplicated linear regression to intricate neural networks that push present day AI https://www.youtube.com/watch?v=ukDKssVrU4Q