Data-Centric Machine Learning: Why Data Quality Beats Model Tinkering
Data-Centric Machine Learning: Why Data Quality Beats Model Tinkering Machine learning projects too often focus on hunting for the perfect model architecture, while the single biggest driver of real-world performance is rarely the algorithm — it’s the data. Adopting a data-centric approach shifts attention from complex model changes to improving the datasets that feed them. […]