What is Model Deployment?

Model deployment is the process of making a trained machine learning model available for use in real-world applications. This typically involves integrating the model into an existing software system or creating a new application that utilizes the model's predictions. Common use cases include deploying models for fraud detection, image recognition, natural language processing, and predictive maintenance.