ML .NET is an open-source, cross-platform machine learning framework for .NET developers that enables integration of custom machine learning models into #dotNET applications. #MLdotNET 3.0 is now available, with lots of new features! Learn more. https://t.co/bU8RARM2TE

We want to hear from you! Help shape and improve #MLdotNET for your needs by taking our short survey: https://t.co/gWFSKt79gw

Announcing .NET 7 Preview 5. ...now with improvements to: ➡️ Generic Math ➡️ source code generators ...and new features for: ➕ Text Classification API for #MLdotNET ➕ Roslyn analyzer and fixer for RegexGenerator 📖 https://t.co/w5mbIPheTa

Leverage your existing tools to develop and infuse custom ML into your apps with #mldotnet 1.2 and updates to Model Builder and the CLI. Explore the update: https://t.co/47XygvdmBN

Exciting stuff 🚀 @mldotnet #dotnet #webassembly

Learn how to create custom machine learning models for scenarios like sentiment analysis, price prediction, and more without any machine learning experience using #MLdotNET and Model Builder: https://t.co/LWQTT1nbwx

Integrate custom machine learning models into your #dotNET apps. #MLdotNET version 2.0 and a new version of Model Builder are now available! See what's new and get the resources you need to start using them: https://t.co/ZZQ9kYmhJV

#MLDotNet crash course by @oliagavrysh.

A new version of #MLdotNET Model Builder is now available. AND, it includes support for object detection using your local CPU or GPU. Read about the updates we made that enables integration of custom machine learning models into your #dotNET apps. 📖 https://t.co/geT6cakTqi

We've made updates to #MLdotNET and Model Builder. See what they are: https://t.co/QQ6dS77Ma9

Custom machine learning models can be quickly built, trained, and deployed using the ML .NET Model Builder. Try it out: https://t.co/O4IoyYAwDO #MachineLearning #MLDotNET

Let's explore how to create a cross-platform RSS reader that improves (gets smarter) as it's used, with #Xamarin, Azure Cognitive Services, and #MLdotNET. Watch: https://t.co/rMsxBbpAaE

It's time to talk about #Blazor & #mldotnet & #CosmosDB at @CodePaLOUsa

Can't wait to talk about #MLdotnet at #sqlbits2020! I'm on at 9.15. See you soon @SQLBits!

Join Bri Achtman and Luis Quintanilla from the #MLDotNET team to discuss using its new Model Builder in #VisualStudio to achieve your machine learning goals using C# and F#: https://t.co/hyf9csKd3i

#MachineLearning #mldotnet con @cesardelatorre #dotnet #DotNet2019

In this session from the Xamarin Developer Summit, we see how to leverage Azure Cognitive Services and #MLdotNET together with #Xamarin to create a cross-platform RSS reader that is “smart” and gets smarter as you use it. So 🆒: https://t.co/bgtzI8n3qd

Fresh bits on my GitHub. 🔥 - Taxi Fare Prediction using #MLdotNet - A portable Taxi Fare Prediction Service - Full Stack Web using #RazorComponents (preview-3) - Validation - Forms - Input components https://t.co/FEiChNwnAH

In today's introduction to ML .NET episode, we introduce #MLdotNET, an open-source, cross-platform ML framework for .NET. See for yourself what you can do with it and how it integrates with the rest of the #dotNET ML ecosystem. 🎥 https://t.co/4IsLb98MyF