In the ever-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 simple linear regression to complex neural networks that travel fashionable AI apps like self-driving automobiles, https://www.youtube.com/watch?v=ukDKssVrU4Q