On the experiences of adopting automated data validation in an industrial machine learning project

Lucy Ellen Lwakatare, Ellinor Rånge, Ivica Crnkovic +1

Background: Data errors are a common challenge in machine learning (ML) projects and generally cause significant performance degradation in ML-enabled software systems. To ensure e…