Summary and Outlook

This chapter presents an assessment of the potential of Online Machine Learning (OML) for practitioners. The results of the studies are summarized and discussed and concrete recommendations for OML practice are given. The importance of a suitable comparison methodology for Batch Machine Learning (BML) and OML methods is highlighted to avoid “comparing apples to oranges”. We also point out the great potential of OML that is available through the development of the open-source software River.