MLOps

English

MLOps is at the intersection of Machine Learning, DevOps and Data Engineering

Alternative forms

• ML Ops

Etymology

Blend of ML (“machine learning”) +‎ DevOps.

Noun

MLOps (uncountable)

1. (machine learning) A paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently.
   • 2021, Hien Luu, Beginning Apache Spark 3, 2nd edition, Apress, →ISBN:

     The goal of MLOps is to minimize the technical friction to get the model from an idea to production in the shortest possible time with high-quality predictive power and with as little risk as possible.

Further reading

• MLOps on Wikipedia.Wikipedia