This document summarizes Matthias Gallé's presentation on human-centric machine learning at the 2017 Rakuten Technology Conference. It discusses supervised learning where the goal is formalized and large labeled datasets are available, unsupervised learning where patterns are discovered in unlabeled data, and interactive learning which allows users to provide feedback to guide the machine learning model. Specific applications mentioned include machine translation, exploratory search, active learning, and removing the burden of labeling from humans.