With the ML.NET Model Builder, create custom machine learning models for scenarios like sentiment analysis, price prediction, and more without any machine learning experience and without leaving the .NET ecosystem!
ML.NET is a cross-platform, machine learning framework for .NET developers, and Model Builder is the UI tooling in Visual Studio that uses Automated Machine Learning (AutoML) to easily allow you to train and consume custom ML.NET models.
ML.NET is an open source and cross-platform machine learning framework made for .NET developers.
Using ML.NET you can easily build custom machine learning models for scenarios like sentiment analysis, price prediction, sales forecasting, recommendation, image classification, and more.
ML.NET 1.0 was released at //Build 2019, and since then the te...
ML.NET is an open-source and cross-platform machine learning framework (Windows, Linux, macOS) for .NET developers. Using ML.NET, developers can leverage their existing tools and skillsets to develop and infuse custom AI into their applications by creating custom machine learning models for common scenarios like Sentiment Analysis, Recommendation, ...
We’re currently looking into how we can make .NET great for Big Data scenarios.
Please fill out the survey below and help shape how we can improve .NET for Big Data by sharing your experiences, challenges, and needs. It should only take 10 minutes or less to complete!
Take the survey now!
Thanks, .NET Team
ML.NET is an open source and cross-platform machine learning framework made for .NET developers. .NET developers can use their C# or F# skills to easily integrate custom machine learning into their web, mobile, desktop, gaming, or IoT applications without any prior expertise in developing or tuning machine learning models. ML.NET covers many machin...
We are currently working on the IL Linker and would love to get your feedback. Please fill out the brief survey below and help shape the future of the IL Linker by telling us about your current practices as well as your biggest challenges with the build and deployment processes for your apps.
At the end of the survey, you can leave your name and e...
