With the rapid advance of mobile computing technology, there is a significant demand for mobile application testing on real devices. In mobile app testing, Mobile Device Management is playing a vital role and understanding the challenges in Mobile Device Management is as important as solving them. In order to avoid Device specific problems, test automation developers must test their apps on a large number of the devices, which is costly and inefficient. In this talk, we demonstrate how to leverage machine learning algorithms in mobile test automation. Participants will learn how to use ML algorithms in mobile device selection, Supervised learning and Prediction using a couple of algorithms.