This seminar is concerned with recent topics in Machine Learning and Big
Data Analytics. You will learn about the conceptual foundations of
Machine Learning in the context of digital transformation as well as the
fundamentals of statistical learning theory. Furthermore, you will
become acquainted with important concepts and approaches such
as (un-)supervised learning algorithms, automated image/text analysis,
reinforcement learning, memory learning and distributed/real-time data
analytics. Within your group, you will then deal with a
specific challenging and relevant topic related to the practical use of
Machine Learning. You will be provided with data and tasked to develop
an application yourself. Therefore, this seminar will help you to deepen
your understanding about Machine Learning and Big Data Analytics from a
conceptual, theoretical and practical perspective.