The seminar will accept a max of 20 students. During the first meeting, four groups of five people each are formed. We are going to offer a selection of topics, including “Deep Learning and Interpretability”, “Clustering and Classification”, “Dimensionality Reduction Methods”, “Performance measures and validation”. Each student will be assigned to one of these groups and the groups will have to work out a detailed plan. There will be weekly opportunities to meet up with team of scientists and ask questions. At the end of the semester there will be three hour session during which the students present there results in a 20+10min presentation format.