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: bit.ly/aaiyoutube
You can find the material here: github.com/nku...
You can find out more about the ABBA project here: ki-lehre.de/
You can find out more about myself on my website: niklas.xyz/