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Practical Predictive Analytics by Ralph Winters

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Step 6 deployment

Deployment of a model is the process by which you put your models into a real-world production setting. This can depend on many factors, such as the environment in which it was developed, the algorithm that was chosen, assumptions concerning the data that was made when the model was developed, and of course, the level of the developer. Often a model is unable to scale up to the demands of a production environment and knowing your possible production environment in advance will dictate what problems or techniques are feasible.

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