Machine Learning, Overfitting, Regularization, Artificial Intelligence, Data Science.
If we have only a limited amount of training samples, each with a large number of features, we should only select the most important features for training so that our model doesn’t need to learn for so many features and eventually overfit. We can simply test out different features, train individual