How do I choose machine learning

Machine learning: competencies, research, application

Machine learning (ML) is the key technology for cognitive systems based on artificial intelligence (AI) and thus one of the decisive factors for global economic development. The fact-based examination of AI and ML-based technologies is fundamental for a sustainable positioning of Germany and Europe in international competition.

Because there is hardly an area that is not decisively transformed by ML- and AI-based technologies: from goods production to logistics to medical technology. The large number of possible uses is one reason for the public interest. However, the debate is often characterized by half-knowledge, assumptions and myths. Education is needed, because social acceptance is of central importance for the further spread of machine-based learning processes.

This is where the study "Machine Learning - Competencies, Applications and Research Needs", carried out in the context of a project funded by the Federal Ministry of Education and Research (BMBF), comes in. The project was carried out by the Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, the Fraunhofer Center for International Management and Knowledge Economy IMW and the headquarters of the Fraunhofer Society. The study gives a compact introduction to the most important concepts and methods of machine learning, an overview of challenges and new research questions. In addition, it provides an overview of actors, fields of application and socio-economic framework conditions of research with a focus on Germany.