Mastering Duplicate Data Management in Machine Learning for Optimal Model Performance

In today’s data-driven world, machine learning practitioners often face a critical yet underappreciated challenge: duplicate data management. A massive amount of diverse data powers today’s ML models. Though gathering massive datasets has become easier than ever, the presence of duplicate records can considerably impact their quality, performance and often lead to biased results.