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When machine learning and data science is addressed it is often overlooked that there is a great gap between producing a good model and having it run in production. No matter if it is used to do a scoring on a weekly basis or trigger by an action in real time, the challenges of monitoring, model deployment and management are always important to consider. With deployment often the visual representation of result is a big topic so we are addressing web apps here as well.
Introduction