Machine Learning Operations
Model Deployment
The process of making a trained machine learning model available for use in a production environment.
Expanded definition
Model deployment involves taking a trained model and integrating it into a larger software application or system so it can make predictions or automate tasks in real-time. This may include setting up APIs, ensuring scalability, and monitoring model performance post-deployment. Effective deployment practices are essential for leveraging machine learning solutions in real-world applications.
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