data drift

is an approach to accuracy that devours data, learns patterns, and predicts. Nonetheless, with the perfect models, even those predictions could crumble in the true world with no sound. Firms using machine learning...

Machine Learning Operations (MLOps) is a set of practices and principles that aim to unify the processes of developing, deploying, and maintaining machine learning models in production environments. It combines principles from DevOps, comparable...