Core ML brings machine learning to Apple developers

Earlier this week Apple unveiled Core ML, a software framework for letting developers deploy and work with trained machine learning models in apps on all of Apple's platforms--iOS, MacOS, TvOS, and WatchOS. Core ML is intended to spare developers from having to build all the platform-level plumbing themselves for deploying a model, serving predictions from it, and handling any extraordinary conditions that might arise. But it's also currently a beta product, and one with a highly constrained feature set. Core ML provides three basic frameworks for serving predictions: Foundation for providing common data types and functionality as used in Core ML apps, Vision for images, and GameplayKit for handling gameplay logic and behaviors. Each framework provides high-level objects, implemented as classes in Swift, that cover both specific use cases and more open-ended prediction serving.