Static vs. Dynamic Training | Machine Learning Crash ...
· Dynamic models adapt to changing data. The world is a highly changeable place. Sales predictions built from last year's data are unlikely to successfully predict next year's results. If your data set truly isn't changing over time, choose static training because it is cheaper to create and maintain than dynamic training.