#mldotnet search results
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. msft.it/6019iMRc3
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 📖 msft.it/6018b9QJg
We want to hear from you! Help shape and improve #MLdotNET for your needs by taking our short survey: msft.social/7pHMze
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: msft.it/6017d2Y4b
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. 📖 msft.it/6019gbKyf
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: msft.social/DQXlYV
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: msft.it/6012Tp5h2
Custom machine learning models can be quickly built, trained, and deployed using the ML .NET Model Builder. Try it out: msft.it/60145ttDi #MachineLearning #MLDotNET
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 🆒: msft.social/9YvMcW
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: msft.it/6018TVEYo
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 github.com/EdCharbeneau/T…
Had an incredible time speaking at my first @sqlpass PASS Summit last week! Thanks to those who attended my session on #MLdotNET! Hope that things return to normal so we can all meet in person for PASS Summit 2021! #MVPBuzz
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#: msft.it/6014nZLHw
TensorFlow .NETとML .NETを使っていていたのに TorchSharpを使っていないのは、まずいと思い TorchSharpも使った実装を勉強する。 #TensorFlow #mldotnet #torchsharp
I wrote a tutorial based on a lightning talk I did on how to get started with AI & Machine Learning as a #dotnet developer using #mldotnet. Hope you like it! adolfi.dev/blog/machine-l…
REMINDER: Nächsten Donnerstag trifft sich die .NET User Group wieder mit dem Thema KI #mldotnet #dotnetdev #ai #ki meetup.com/dotnet-user-gr…
Are you using AI and machine learning in your .NET app? In this week's On .NET episode, Dr. Deb Bharadwaj from Intel joins us to give us a tour of the latest in AI and #MLdotNET! Join us LIVE at 9AM PT. 🎥 msft.it/6017ccoVb
2. “H06 Predicting the Future (of Equipment) Using ML .NET” Learn how to train a machine learning model in Visual Studio with #MLdotNET Model Builder, and build an app that uses the model. (Fair warning from Ron: “I cannot predict how live demos would go. I will do my best.”)
Anas delivered an engaging session on “Introduction to ML.NET,” guiding us through the power of machine learning in .NET applications. Thank you, Anas, for empowering us with valuable insights! #MLDotnet #dotnet #dotnetsession #dotnetapplication #dotnetdeveloper
Or maybe #mldotnet since I know some c#. dotnet.microsoft.com/en-us/apps/mac…
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. 🎥 msft.it/6010ipDvM
🚀 Exciting news! Microsoft has just dropped ML.NET 3.0 with major upgrades in deep learning and data processing. Don't miss out on the latest in machine learning – check out the full scoop here: ift.tt/ic7B6TO #MLdotNET #TechUpdates
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. msft.it/6019iMRc3
Model has been training for the last 24 hours, hopefully some good results ahead! #mldotnet #ML #AI #MachineLearning
👑Domina Machine Learning con ML .NET en Visual Studio 💪Mas info: bit.ly/pablitopiova-m… @msdev @MicrosoftLatam #dotnet #csharp #mldotnet #machinelearningnelearning #AI
Announcing ML .NET 0.3 (an x-plat open source framework for .NET devs), w/ new support for exporting models to the ONNX format & creating new types of models w/ Factorization Machines - see what else is new: msft.social/zAhvmQ #MLdotNET #MachineLearning
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 📖 msft.it/6018b9QJg
What Is (link: ML.NET) by @mcbeniwal cc @CsharpCorner goo.gl/xrCN94 #MLDotNet #Dpk_Tewatia #MachineLearning #DotNet
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. msft.it/6019iMRc3
We want to hear from you! Help shape and improve #MLdotNET for your needs by taking our short survey: msft.social/7pHMze
We’re excited to announce the release of #MLdotNET 0.7, the latest release of the cross-platform & open source machine learning framework for #dotNET dev. Get the news here: msft.social/HNVh0k
News recap from last week's #MSBuild: Introducing msft.social/EUMzHm, a cross-platform, #OpenSource Machine Learning Framework - msft.social/U1s9I2 #mldotnet
Getting Started With #Machine Learning .NET (ML.NET) by @syedshanu3 cc @CsharpCorner bit.ly/2wjREgB #MachineLearning #MLdotnet
...just released, msft.social/W21Mkd 0.2. This release adds new ML tasks to make it easier to validate models, plus we added a brand-new repo for ML.NET samples. Check it out: msft.social/AQGOzu #MLdotNET
Don’t have machine learning expertise? #dotNET devs can now use a set of C# APIs for training models, using models for predictions, & a UI tool to enable an easy getting started experience. More info: msft.social/1RzmtN #MSBuild #MLdotNET
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: msft.it/6017d2Y4b
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