Machine learning inference

Machine learning inference is often referred to as "moving a model into production". It is the vital process of using a trained machine learning model to make predictions or classifications on fresh, unprocessed data, thus enabling efficient, cost-effective, and scalable deployments of machine learning solutions.

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