From the at any time-evolving landscape of synthetic intelligence and device learning, algorithms serve as the spine of innovation. Between them, one stands out as arguably probably the most crucial: gradient descent. This optimization algorithm powers every little thing from uncomplicated linear regression to intricate neural networks that travel modern https://www.youtube.com/watch?v=ukDKssVrU4Q