VIS-Sem-B: Bachelorseminar Informationsvisualisierung - Visually Understanding AI through Computational Notebooks

Understanding machine learning concepts is challenging for many students. In this seminar, we will focus on exploring visualization-based approaches to understanding machine learning concepts. Computational notebooks, such as Observable, Jupyter, or Google Colaboratory, provide a platform to include a dataset, execute code, and narrate a story with Markdown text, interactions, and visualizations. Such notebooks can be used to explain the concepts better. Each student will choose a machine learning concept (eg, multiclass classification), research and understand it, and finally, narrate a story with visualizations to explain the concept. As the final seminar reports, students will create a computational notebook to explain the chosen concept.