In the at any time-evolving landscape of synthetic intelligence and equipment learning, algorithms function the spine of innovation. Between them, just one stands out as arguably the most crucial: gradient descent. This optimization algorithm powers everything from very simple linear regression to elaborate neural networks that push modern day AI a