Stochastic Gradient, Machine Learning, AI, Gradient Descent.
better, as long as you have the computational resources to handle it. More features (or dimensions) offer a trade-off, allowing more expressive power at the risk of overfitting the data set. Still, these days the prevailing trend is to include as many features as possible. Regularisation is key to