After successful completion of the course, students are able to comprehend the materials presented in the lecture and to draw conclusions from them, as well as to actively communicate the contents presented during the lecture.

Machine learning has become an important tool in the analysis of data and as prognosis tool in science and engineering. This method continues to be an active field of research, but its knowledge also provides students with an excellent perspective for jobs in industry. The project work is concerned with the application of machine learning concepts in physics and engineering, as well as with the development of new tools, e.g., for the compression of data or in optimization problems, pattern recognition, and the prediction of observables. The project is ideally suited to deepen the knowledge aquired in the lecture 138.128 "Machine Learning in Physics".

Interactive course

Protocol

We recommend taking the course 138.128 Machine Learning in Physics