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

Data validation is an essential requirement to ensure the reliability and quality of Machine Learning-based Software Systems. However, an exhaustive validation of all data fed to these systems (i.e. up to several thousand features) is practically ...

Machine Learning (ML) research has primarily focused on improving the accuracy and efficiency of the training algorithms while paying much less attention to the equally important problem of understanding, validating, and monitoring the data fed to ML. ...

Modern companies and institutions rely on data to guide every single business process and decision. Missing or incorrect information seriously compromises any decision process downstream. Therefore, a crucial, but tedious task for everyone involved in ...