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Explore machine learning implementation in C# through this 53-minute conference talk that demonstrates how to build intelligent mobile applications using ML.NET and .NET MAUI. Learn to train regression and classification models entirely within the C# ecosystem, moving beyond the traditional Python-dominated machine learning landscape. Discover techniques for implementing offline AI analysis directly on mobile devices by integrating trained models into .NET MAUI applications. Master the process of creating image classification models using Azure Custom Vision and deploying them offline in mobile apps through ONNX integration. Gain practical understanding of regression and classification problem types, model training and evaluation methodologies with ML.NET and Azure Custom Vision, and local model implementation strategies for .NET MAUI applications. Develop skills in cross-platform mobile development with embedded machine learning capabilities, enabling sophisticated AI-powered features that function without internet connectivity.
