Model Selection, Reinforcement Learning, Deep Learning.
One single model in production may not be sufficient. So, there is a need to train multiple candidate models which may use different algorithm for deployment in production. However, manually choosing best model is not a scalable solution. Rather we need an automatic mechanism to dynamically select