How to Create Nonlinear Models with Data Projection

Linear models will take you far as a machine learning practitioner -- much further than most rookies would expect. I previously wrote that complex approaches like neural nets are a great way to shoot yourself in the foot. That's especially true if you lack the data to justify nonlinear techniques or don't understand the finesse behind these methods. That being said, you won't always have linearly-separable data. For every dataset you can draw a straight line through, there will be ten more with crazy nonlinear solutions.