What Does MLOps (Machine Learning Operations) Mean?

Machine learning operations (MLOps) is an approach to managing the entire lifecycle of a machine learning model – including its training, tuning, everyday use in a production environment and retirement.

Techopedia Explains MLOps (Machine Learning Operations)

MLOps, which is sometimes referred to as DevOps for ML, seeks to improve communication and collaboration between the data scientists who develop machine learning models and the operations teams who oversee an ML model’s use in production. It achieves this by automating as many repetitive tasks as possible and improving feedback loops.