Model Selection, Reinforcement Learning, Deep Learning.
Models which have been trained offline, may not give good results when used in productions, because of drift in production data. Models developed by Juniper for problems like traffic prediction, are dynamic in nature and one single model will not be enough. Multiple candidate models can be used in