Mlops

Referring to Machine Learning Operations, MLOps is a practice that focuses on the reliable and efficient deployment and maintenance of machine learning models in production. It is a fundamental aspect of Machine Learning engineering, merging the principles of 'machine learning' with the continuous development practice of DevOps in the software field. This practice plays a vital role in streamlining the process of transitioning machine learning models from their developmental stage to their operational stage.