SE4AI: Data Quality
Channel: Christian Kästner
Date: 2020-06-23

About various kinds of data quality issues, strategies to detect data quality problems and to repair them. Includes schemas, consistency rules, as well as concept and data drift and their detection.

11th lecture of the Carnegie Mellon course "17-445/645 Software Engineering for AI-Enabled Systems", Summer 2020 

See https://ckaestne.github.io/seai/S2020/ for details and slides