Episode
ML.NET: Machine learning from data to production in less than 30 minutes
with Bri Achtman, Luis Quintanilla
Getting machine learning models from experimentation to production is an industry-wide challenge. ML.NET is a free, cross-platform, and open-source machine learning framework built for .NET developers that simplifies the model training and deployment process by keeping everything in the same ecosystem. In this session, we'll use ML.NET tooling in Visual Studio to quickly train a machine learning model, and then we will deploy the model to a .NET MAUI application.
Getting machine learning models from experimentation to production is an industry-wide challenge. ML.NET is a free, cross-platform, and open-source machine learning framework built for .NET developers that simplifies the model training and deployment process by keeping everything in the same ecosystem. In this session, we'll use ML.NET tooling in Visual Studio to quickly train a machine learning model, and then we will deploy the model to a .NET MAUI application.
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