Unboxing the Concept of Drift in ML

Drift is a common phenomenon that occurs during the lifecycle of your model. It is one of the leading causes of performance deterioration. This session will unveil the concepts of drift, including model drift and data drift. This will also cover some of the practical techniques to handle drift and some of the challenges associated with it.