A practical overview of the deployment lifecycle, key challenges, and mitigation strategies. Introduction Deploying a machine learning (ML) model into production is a very different challenge from building the model itself. Training a model is usually the “fun” part—lots of experimentation, tweaking, and improving accuracy. But once you want that …