Learn in the textbookContinuous Improvement and Automation of Development and Operations
DefinitionMLOps applies the thinking of DevOps to systems that use machine learning, keeping a model (a mechanism that learns from data to make predictions or judgments) cycling continuously from development through operation and updates.
ExplanationMLOps links data preparation, training, evaluation, deployment and monitoring into one continuous flow and automates whatever it can. Like DevOps, it relies on data analysts, developers and operators working together.
AnalogyIt is like a weather forecaster who checks every day whether the forecasts were right and, once misses start piling up, rebuilds the forecasting method from new observation data.
Memory hookThe name is DevOps with Dev swapped out for ML (Machine Learning).