From the ever-evolving landscape of synthetic intelligence and machine Understanding, algorithms serve as the backbone of innovation. Between them, one stands out as arguably essentially the most critical: gradient descent. This optimization algorithm powers anything from uncomplicated linear regression to elaborate neural networks that travel fashionable AI apps like self-driving https://www.youtube.com/watch?v=ukDKssVrU4Q