Tell us your thoughts on ML.NET, an open source and cross-platform machine learning framework

Bri Achtman

Program Manager

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 machine learning scenarios, including classification, regression, recommendation, clustering, anomaly detection, ranking, and deep learning.

ML.NET is still new, and as we are developing it, we would love to get your feedback! Please fill out the brief survey below and help shape the future of ML.NET by telling us about your usage and interest in Machine Learning and ML.NET.

Take the survey now!

At the end of the survey, you can leave your name and e-mail address (optional) so that an engineer on the .NET team can reach out to you to talk a little bit more about your experiences and thoughts.

We appreciate your contribution!

Author

Bri Achtman

Program Manager

Bri is a Program Manager at Microsoft on the .NET team, currently working on ML.NET. She spends her time finding and sharing the many interesting ways .NET developers are using machine learning and improving the user experience for ML.NET. Outside of work, Bri is a Vanderbilt alumna who loves taking her dog on long walks to the ice cream shop.