Machine Learning Projects for Mobile Applications

Core ML

Core ML helps us to build ML learning applications for iOS platforms.

Core ML uses trained models that make predictions based on new input data. For example, a model that's been trained on a region's historical land prices may be able to predict the price of land when given the details of locality and size.

Core ML acts as a foundation for other frameworks that are domain-specific. The major frameworks that Core ML supports include GamePlayKit to evaluate the learned decision trees, natural language processing (NLP) for text analysis, and vision framework for image-based analysis. 

Core ML is built on top of accelerate, basic neural network subroutines (BNNSs), and Metal Performance Shaders, as shown in the architecture diagram from ...