• INI
  • Machine Learning Consulting

Machine Learning Consulting

Machine learning methods are nowadays widespread also outside computer science, e.g., in many areas of science and engineering. They are the primary approach towards artificial intelligence. These methods are particularly successful where data are abundant and exact modeling is difficult or impossible, and human expertise is expensive, inexact, or difficult to formalize. Machine learning algorithm build models directly from data. This contrasts with manual modeling. The process is highly automated and does not require deep domain specific expertise.


The Institute for Neural Computation (Institut für Neuroinformatik, INI) offers general advice on machine learning and artificial intelligence methods for application problems. The service is restricted to members of the Ruhr University Bochum. It ranges from single session meetings, for example for Bachelor and Master thesis projects, to long term collaborations targeted at projects or publications.


Please write an email to ml-beratung@ini.rub.de (in German or English).
Be sure to include a short description of the application context and of the available data.

The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.

Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany

Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210