Core ML enables iOS mobile applications to run machine learning models locally on a mobile device. It enables developers to integrate a broad variety of machine learning model types into a mobile application. Developers do not require extensive knowledge of machine learning or deep learning to write machine learning mobile applications using Core ML. They just need to know how to include the ML model into the mobile app similar to other resources and use invoke it in the mobile application. A data scientist or a machine learning expert can create an ML model in any technology they are familiar with, say Keras, scikit-learn, and so on. Core ML provides tools to convert the ML data model created using other tools (tensor, scikit-learn, and so on) to a format that is mandated by Core ML.
This conversion to a Core ML model happens during the app development phase. It does not happen in real time when the application is being used. The conversion is done by...
