From the at any time-evolving landscape of synthetic intelligence and equipment learning, algorithms serve as the backbone of innovation. Between them, one stands out as arguably one of the most important: gradient descent. This optimization algorithm powers almost everything from very simple linear regression to advanced neural networks that travel https://www.youtube.com/watch?v=ukDKssVrU4Q