Inside the ever-evolving landscape of synthetic intelligence and equipment learning, algorithms serve as the spine of innovation. Among them, 1 stands out as arguably quite possibly the most essential: gradient descent. This optimization algorithm powers all the things from uncomplicated linear regression to complicated neural networks that drive m