How Bad Data Hides: A Guide to Data Quality

Bad data doesn’t always announce itself. Silent failures like label noise and distribution drift can degrade models long after deployment. This guide covers systematic auditing, principled cleaning, and production validation to catch data quality issues before they cost you.