Applied Artificial Intelligence — 5: Concept Drift

This lecture provides an introduction to concept drift — a phenomenon where data distribution changes over time, causing our machine learning model to become confused and inaccurate. We discuss terms, methods for detecting & adaptation, and examples. Link to the entire playlist: https://bit.ly/aaiyoutube You can find the material here: https://github.com/nkukit/aai You can find out more about the ABBA project here: https://ki-lehre.de/ You can find out more about myself on my website: http://niklas.xyz/