Core Ml

This handles the full spectrum of on-device machine learning for Apple platforms, from integrating pre-trained Core ML models to using Vision for OCR and object detection or NaturalLanguage for sentiment analysis. The decision guide upfront is smart: it walks you through whether you actually need Core ML versus Apple's newer Foundation Models, or if a built-in Vision or NaturalLanguage request will do the job without a custom model. Covers real-time camera integration, Create ML training workflows, and model optimization techniques like quantization. If you're adding image classification, sound analysis, or custom predictions to an iOS or macOS app, this gets you from zero to working inference code with proper error handling and performance tuning.