The impact of data quality on model performance

A lot of focus in the machine learning community is on the choice of algorithm. This talk will instead focus on the dataset. While most people by now have realized that dataset quality is critical for the success of machine learning projects, most teams still struggle to quantify data quality. This talk will provide hands-on examples of how to quantify dataset quality, and also reason about the impact various types of quality issues can be expected to have on model performance.