I will take a closer look at what's new (and what's not so new) in automated machine learning or driverless AI and how this affects the Data Science process. I will then dive deeper into some of the underlying techniques such as active learning and parameter optimization and how modern computational abilities put automation of some - but definitely not all - aspects of Data Science within reach.

Time: 14:30 - 15:00
Track: Track 3
Speaker: Christian Dietz