Machine learning and computer vision methods have recently received a lot of attention, in particular when it comes to data analytics. The success of deep neural networks that can help cars drive autonomously and make smartphones recognize speech and translate text attests to the value of using machine learning methods to tackle complex real-world problems. A further prominent example is the success of Google's AlphaGo AI that defeated the world champion Lee Sedol in playing Go. This is remarkable in particular since Go has previously been considered as one of the most complex games due to the larger number of game states. As the amount of data collected by cameras and scientific instruments continues to rise, automated analysis methods will become ever more important in the future.