In the last session we looked at how Machine Learning is being used in Software Engineering (specifically, to predict flakiness of tests). In this session, we explore the opposite perspective ie. how is Software Engineering different for ML systems compared to traditional software? The paper for discussion is “Software Engineering Challenges of Deep Learning”.