Stochastic Gradient, Machine Learning, AI, Gradient Descent.
seen. Regularisation: The case of large n In machine learning it is common that we see the use of all features conceivable and using n as large as possible. With this approach you could easily overfit and this should be something you guard against. Philosophically, the solution is Occams Razor — to