An exploration of the theoretical fundamentals of machine learning and and how machine learning frameworks work. We’ll cover key concepts such as functions, parametrizing functions from data, judging the accuracy of models, GPU computing and some basic model architectures.This session is designed for those interested in the foundational ideas behind machine learning—no coding or advanced mathematics required. Our focus will be on the basics, without digging to much into specific AI applications or large language models (LLMs).English or German possible.Duration: 30min + 15min Q&ADevices: Beamer, Laserpointer would be nice