Noun
A paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently.
Usage- Uncountable
- Examples
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More examples (1)
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.