The model deployment
Example: Model deployment makes trained models available for real-world use
Definition
"The model deployment" refers to the process of making trained machine learning models accessible and operational in real-world environments, enabling them to perform predictions or decisions on new data outside the training phase.
Etymology
The term "the model deployment" combines 'model,' from Latin 'modulus,' meaning a measure or standard, with 'deployment,' derived from the French 'déployer,' meaning to unfold or spread out. Together, they describe the act of putting a model into active use.
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"The model deployment" appears in the Vocaplus list "English - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
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