Cambridge and UCLA Researchers Introduce DC-Check: a new Data-Centric AI Checklist-Style Framework to Guide the Development of Reliable Machine Learning Systems

Revolutionary advances in machine learning (ML) algorithms have empowered many AI-powered applications in various industries, such as e-commerce, finance, manufacturing, and medicine. However, developing real-world ML systems in complex data settings can be challenging, as shown by numerous high-profile failures due to biases in the data or algorithms. To address this issue, a team of […]

The post Cambridge and UCLA Researchers Introduce DC-Check: a new Data-Centric AI Checklist-Style Framework to Guide the Development of Reliable Machine Learning Systems appeared …

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