Machine learning is to learn complex patterns from existing data, and use them to predict on unseen data. MLOps is a set of tools and best practices for bringing ML into production. ML Algorithms are only a small part of ML systems. The data stack, the logic for monitoring, data updating, and how users interact with the model are all important. In 2016, Google integrated multilingual neural machine translation into Google Translate, which is the first success story of deep learning in production at scale.
