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Mar 17, 11 PM - Mar 21, 11 PM
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Learn how to install ML.NET Model Builder to add machine learning to your .NET applications.
ML.NET Model builder is built into Visual Studio. To enable it:
ML.NET Model builder is built into Visual Studio. To disable it:
Model Builder automatically updates when there's a new version.
However, if you'd prefer to manually install the latest version, either download it from Visual Studio Marketplace or use the Extensions Manager in Visual Studio. See how to update a Visual Studio extension for more information.
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Events
Mar 17, 11 PM - Mar 21, 11 PM
Join the meetup series to build scalable AI solutions based on real-world use cases with fellow developers and experts.
Register nowTraining
Module
Train a machine learning model for predictive maintenance by using ML.NET Model Builder - Training
In this module, you'll learn how to use ML.NET Model Builder to train and consume a machine learning model for predictive maintenance.
Certification
Microsoft Certified: Azure Data Scientist Associate - Certifications
Manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Python, Azure Machine Learning and MLflow.
Documentation
Load training data for Model Builder - ML.NET
Learn how to load training data from a SQL Server database or a file for use in one of the Model Builder scenarios for ML.NET.
What is Model Builder and how does it work? - ML.NET
How to use the ML.NET Model Builder to automatically train a machine learning model
How to install GPU support in Model Builder - ML.NET
Learn how to install GPU support in Model Builder