Events
Here you will find an overview of all upcoming events.
The Biometrics Group of the BMEL regularly organises courses on statistics and data science. Further information can be found here.
Machine Learning with Python
November 24th & 25th, 2025, 9:00 a.m. - 5:00 p.m., online, in german
The goal of this course is to introduce participants to the programming of AI algorithms and pipelines for simple RAG systems using large language models. Among other topics, simple machine learning algorithms will be implemented using SciKit-Learn, and simple neural networks will be trained. Participants should have prior knowledge of basic programming with Python, as well as knowledge of AI and neural networks. Additionally, they should be familiar with the following software: Visual Studio Code (VSC), Graphviz (version 12.1.2), Python (version 3.11.7), Python Extension in VSC (v2024.16.1), and Jupyter Notebook Extension in VSC (v2024.9.1).
This online training is exclusively available to employees of BfR, BVL, DBFZ, FLI, JKI, MRI, and Thünen Institute (limited to 20 participants) who work with Artificial Intelligence. To register, please contact the training coordinators at your institution.
Advanced Machine Learning
November 26th to 28th, 2025, 9:00 a.m. - 5:00 p.m., online, in german
This online course provides in-depth knowledge of advanced machine learning concepts and algorithms. Participants will apply advanced techniques such as classification and cluster analysis independently using Python to develop high-performance and precise models. The course will also cover topics such as an introduction to deep neural networks and Pytorch and gives insights into computer vision methods. Good programming skills in Python (e.g. scikit-learn, Pandas) and prior knowledge in machine learning are required to participate in this course.
This course is exclusively available to employees of BfR, BVL, DBFZ, FLI, JKI, MRI, and Thünen Institute (limited to 20 participants) who work with Artificial Intelligence. To register, please contact the training coordinators at your institution.