Data Science and its Applications
Data science is interdisciplinary and touches upon technical areas such as mathematics, statistics and computer science as well as various applications such as in the biomedical sciences, industrial applications, business, social sciences and natural sciences. It can be viewed as a vehicle establishing methodology that is vital for the connection between methodology and applications and which ultimately allows for the sciences to have an impact in real-world applications.
In the Research Department Data Science and its Applications, we explore the use of methods from artificial intelligence, machine learning and beyond to generate knowledge from data. This is because patterns and insights can be extracted from data, which can be used for prediction, process optimization and decision support in many different areas. This includes the development of new methods for Data Science applications as well as open source tools and methods that facilitate these applications and improve the knowledge gained from data.
The research constitutes of four major streams:
Machine Learning in Julia (MLJ)
Development of the software package Machine Learning in Julia, a modelling toolbox providing a common interface and meta-algorithms for selecting, tuning, evaluating and building
composite models.
Management
Prof. Sebastian Vollmer
Phone: +49 631 20575 7601
sebastian.vollmer@dfki.de
Deputy Head
Andrea Sipka
andrea.sipka@dfki.de
Contact
Daniel Mayer
Phone: +49 681 85775 7242
dsa-sek@dfki.de
Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI)
Data Science and its Applications
Trippstadter Str. 122
67663 Kaiserslautern
Germany