Within the ever-evolving landscape of synthetic intelligence and machine learning, algorithms function the spine of innovation. Among them, just one stands out as arguably probably the most very important: gradient descent. This optimization algorithm powers all the things from simple linear regression to complicated neural networks that travel modern AI https://www.youtube.com/watch?v=ukDKssVrU4Q