Inside the at any time-evolving landscape of synthetic intelligence and machine learning, algorithms serve as the spine of innovation. Among them, 1 stands out as arguably by far the most important: gradient descent. This optimization algorithm powers all the things from uncomplicated linear regression to advanced neural networks that push modern d