Speaker
Prof.
Katja Ickstadt
(TU Dortmund)
Description
The quality of results of machine learning models highly depends on the quality of the data used to train the model. But what do we mean by good data quality? Are representative data, e.g., provided by the German micro census or the census of good quality? And does the term “representativity” suffice to define data quality? In this talk, we will discuss the terms “data quality” and “representativity” and link them to the learning task of statistical models.