A wide variety of machine learning practitioners exist, each with distinct use cases and preferences. Data scientists often lean towards notebook-centric exploration, while machine learning engineers favor coding and version control. The current focus is on catering to production ML engineers, with plans to enhance the experience for deep learning researchers and data scientists.
