Linear model
A model that assigns one weight per feature to make predictions. (Linear models also incorporate a bias.) In contrast, the relationship of features to predictions in deep model is generally nonlinear.1
Linear models are usually easier to train and more interpretable than deep models. However, deep models can learn complex relationships between features.
Linear regression and logistic regression are two types of linear models.