Redefining Data Quality: A Paradigm Shift in the Machine Learning Pipeline
Data quality issues form some of the central challenges in machine learning, but what do we mean by “quality”? Here we redefine and reframe the term to clarify both the problem and its potential solutions. Data quality can mean everything from how accurately a dataset reflects real-world events to its consistency in formatting to whether […]
