AI & MLIntermediate
ML.NET: Practical Machine Learning for .NET Developers
Learn ML.NET in C#: MLContext, IDataView, pipelines, trainers, AutoML, metrics, PredictionEnginePool, ONNX, and when to pick ML.NET over LLMs.
ML.NET
2 articles about ML.NET: in-depth .NET and AI guides, senior interview questions and AI news on DotNet AI Hub.
Technologies 1
Interview Questions 1
AI EngineeringSenior
ML.NET and ONNX Interview Questions
Senior .NET interview questions on ML.NET and ONNX: pipeline design, feature engineering, evaluation metrics, PredictionEnginePool deployment and model drift.