Machine Learning, Data Science.
performance at the cost of speed. The post was originally at Kaggle. Summary: Linear models are good for speed (ex: 30 seconds CPU for a full-pass on 70k rows x 21k features, 1 second for a full-pass on 2M rows x 10k features) Non-linear models are terrible when it comes to speed Speed comes with