If you have good features there is little advantage to a complex model. In production ML there are still many applications for random forests, linear models or

If you have good features there is little advantage to a complex model. In production ML there are still many applications for random forests, linear models or svms. Though I prefer random forests because they require less preprocessing, are super fast to train, and can be easy to explain feature importances.