In the ever-evolving landscape of synthetic intelligence and device learning, algorithms function the spine of innovation. Amid them, one stands out as arguably quite possibly the most vital: gradient descent. This optimization algorithm powers everything from basic linear regression to complicated neural networks that push modern AI programs like self-driving https://www.youtube.com/watch?v=ukDKssVrU4Q