Overview and Importance of Data Quality

Overview and Importance of Data Quality

Explore the critical role of data quality in machine learning tasks through this comprehensive conference talk from KDD 2020. Delve into data preparation challenges, quality analysis techniques, and their impact on enterprise settings. Examine common data cleaning methods and their effectiveness in ML pipelines. Investigate the complexities of imbalanced classification, including evaluation metrics, affecting factors, and modeling strategies. Gain valuable insights from IBM Research experts on navigating data quality issues to improve machine learning outcomes.