Model validation and monitoring: New phases in the ML lifecycle

ML pipeline validation and monitoring

In the last decade, machine learning (ML) research and practice have gone a long way in establishing a common framework in designing systems and applications using machine learning models. Mostly using best practices from software engineering, the so called MLOps ecosystem also started to emerge recently. All is good and long awaited.

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