5 Best Practices for Putting Machine Learning Models Into Production - KDnuggets

In our previous article – 5 Challenges to be prepared for while scaling ML models, we discussed the top five challenges in productionizing scalable Machine Learning (ML) models. Our focus for this piece is to establish the best practices that make an ML project successful. ML models today solve a wide variety of specific business challenges across industries. The method of choosing an ML model largely depends on the business use case that we are trying to solve. But before proceeding any further, we should ensure that the chosen approach to build the models are produtionizable.