While in the at any time-evolving landscape of synthetic intelligence and equipment learning, algorithms function the backbone of innovation. Between them, 1 stands out as arguably quite possibly the most crucial: gradient descent. This optimization algorithm powers almost everything from uncomplicated linear regression to elaborate neural networks