Once a machine learning model is trained, model deployment makes it operational in a live environment—such as an app or website—to generate real-time predictions. Businesses use it to automate decisions, detect fraud, or personalize user experiences. Data scientists, engineers, and product teams benefit by turning algorithms into tangible value, improving efficiency and customer outcomes.
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