Training Machine Learning models with ML.NET

ML .NET Homepage: https://dot.net/ml?WT.mc_id=ondotnet-c9-cxa ML .NET Tutorial: https://dotnet.microsoft.com/learn/ml-dotnet/get-started-tutorial/intro?WT.mc_id=ondotnet-c9-cxa ML .NET samples on GitHub: https://github.com/dotnet/machinelearning-samples?WT.mc_id=ondotnet-c9-cxa ML .NET Model Builder extension for Visual Studio: https://dotnet.microsoft.com/apps/machinelearning-ai/ml-dotnet/model-builder?WT.mc_id=ondotnet-c9-cxa ML.NET allows .NET developers to easily build and also consume machine learning models in their NET applications. In this episode, Bri Achtman joins Rich to show off some really interesting scenarios that ML.NET and its family of tools enables. They talk about training models, AutoML, the ML.NET CLI, and even a Visual Studio Extension for training models! 1:40 - What is ML .NET? 5:19 - How can I load my data into ML .NET? 6:55 - Sentiment analysis model creation demo 10:54 - Model training and consumption 15:30 - Rich's ML validation test 16:37 - Object detection demo 18:53 - How are customers using ML .NET? 22:21 - Using AutoML and the Model Builder extension for Visual Studio 25:06 - Using AutoML with the ML .NET CLI Get your questions answered on the Microsoft Q&A for .NET - http://aka.ms/dotnet-qa​ Learn .NET with free self-guided learning from Microsoft Learn: http://aka.ms/learndotnet