- alpha: regularization parameter
- like regularized regression and SVM, require properly normalize the input features.
- a good choice, when the features are of similar types. For example, all derived from the pixels of an image. And less of a good choice, when the features are of very different types.
- one of the advantages of deep learning is that it includes a sophisticated automatic featured learning phase