Current Topics in Machine Learning
The topics of the AMs will change each semester, and bring you in touch with the current state of the art in the three fields. They are typically taught as seminars: that is, each student picks a topic in the beginning of the semester, gives a talk about one or two research papers on this topic, and then writes a seminar paper about it.
Examples of Past Courses:
- Intelligent Data Analysis 2
- Competitive Machine Learning
- Bayesian Linear Modeling
- Applied Data Science
- Neural Models for Machine Translation