#mlnet resultados de búsqueda
Want to see #dotnet for Apache Spark in action? Check out the sample apps on our GitHub repo to see some awesome examples of batch processing, structured streaming, and even #mlnet + #DotNetForSpark! github.com/dotnet/spark/t…
Get more on the latest updates to Model Builder and improvements in #MLNET announced at #dotNET Conf 2019. Read the blog: msft.social/YkqhgF
Mind blown - @briacht just showed off #MLNET and #Blazor recognizing sign language in the browser! live.dot.net
Making the jump from Marketplace to Installer, #MLNET Model Builder... Get the details: msft.it/6017Tijo5
![diederikkrols's tweet image. [Blog] Getting started with #MLNET in #Jupyter notebooks.
xamlbrewer.wordpress.com/2020/02/20/get…](https://pbs.twimg.com/media/EROL5PyWAAUwt1C.png)
ML .NET is an open-source, cross-platform machine learning framework for .NET devs enabling integration of custom machine learning models into .NET apps. ... and #MLNET makes the most out of your compute resources during training. Learn more. msft.it/6013ebrrV
Last week we released two exciting new features in ML .NET Model Builder! You can now 1️⃣ , train image classification models in Azure and 2️⃣ . locally train recommendation models. Check out our blog post to learn more! msft.it/6016TbFzi #mlnet #machinelearning #azure
🚀 Great news for .NET devs! Microsoft msft.it/6015YA9dH now works seamlessly with Intel® oneAPI Data Analytics Library (oneDAL), delivering up to 3x faster training and inference speeds. Learn more about #MLNET and #IntelAI. 🧠💡 msft.it/6010YA9dM
Create custom machine learning models for scenarios like sentiment analysis, price prediction, and more. All w/o any machine learning experience or even leaving the #dotNET dev environment! Get a great #MLNET primer for why and how: msft.it/6013TbCIc
If you miss travel, jet-lag and more; just signup to collaborate in an event in a remote location ! In example: 4AM session to rock a #MLNet session at the MVP Days Israel 2020 ! mvpdays.co.il/schedule/
We are looking for .NET articles written by senior software developers who’d like to share knowledge with InfoQ’s specialized audience. Find out more: bit.ly/3R7y9vC and submit an article proposal: bit.ly/3PNiqAR #dotnetmaui #azuredevops #mlnet #dotnet7
InfoQ is written by software practitioners like yourself who are passionate about software innovation and sharing knowledge. Join our community! Find out more: bit.ly/3Cg6tx2. Get in touch: bit.ly/3zJdebj #dotnetcore #mlnet #javascript #webdev #Java15
ML.NET Recommendation Engine: Pitfall of One-Class Matrix Factorization #fsharp #dotnet #mlnet sergeytihon.com/2021/01/05/ml-…
Help us shape the future of machine learning in .NET by completing this brief survey. msft.it/6014j46dn #dotnet #machinelearning #mlnet
Train an Image Classification ML Model in Visual Studio | Flowers Dataset + API Integration #mlnet, #imageclassification #visualstudio #machinelearning #flowerdataset #dotnet #apiintegration #consoleapp #mltutorial #csharp youtu.be/ExPjoUnLRyY?si…
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Train an Image Classification ML Model in Visual Studio | Flowers...
🚀 ¿Sabías que puedes crear IA en C# sin ser experto en ML? Con ML.NET AutoML, .NET hace el trabajo duro: 🔹 Entrena 🔹 Optimiza 🔹 Selecciona el mejor modelo automáticamente 🔗 Artículo completo en LinkedIn 👇 #MLNET #AutoML #DotNetAI #CSharp #NicoAI
Coding Grounds: Object detection with Machine Learning toreaurstad.blogspot.com/2025/07/object… #mlnet #machinelearning #vott #objectdetection #csharp #dotnet8 #blazorserver #ai #ki #kunstigintelligens #maskinlæring
🧠 What if surveys could learn? With ML.NET + C#, we built a model that predicts answers based on previous inputs. Smart. Adaptive. Real-time. 🔗 Full post on LinkedIn 👇 linkedin.com/posts/nicolas-… #MLNET #MachineLearning #AI #SmartForms #DotNet #NicoAI
🧠 Imagine Netflix for factories. We used ML.NET + ONNX + C# to decide which production order goes first — like recommending the next best show, but for machines. Full code + use case here 👇 🔗 linkedin.com/posts/nicolas-… #NicoAI #MLNET #ONNX #CSharp #Manufacturing
Build Intelligent .NET Apps with AI, Anywhere If AI is on your product roadmap, this might be the most future-ready path forward. Link : colaninfotech.com/?utm_source=Li… #DotNet #MLNET #AI #AzureAI #CSharp #SmartApps #DevTools #OpenAI #MachineLearning #B2BTech #Colaninfotech
Object detection in images with ML.Net tutorial #mlnet #ai #computervision #microsoft #csharp #dotnet learn.microsoft.com/en-us/dotnet/m…
Building an Object Detection Model with the ML.NET Model Builder youtu.be/0ZPqLjbEPRk?si… via @YouTube #mlnet #computervision #ai #dotnet #csharp
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YouTube
Building an Object Detection Model with the ML.NET Model Builder
Saving and loading a ml.net Machine learning model #mlnet #machinelearning #ai #csharp #dotnet8 learn.microsoft.com/en-us/dotnet/m…
Tutorial ML.Net - Sentiment Analysis - Binary classification #mlnet #csharp #dotnet #machinelearning #ai learn.microsoft.com/en-us/dotnet/m…
Getting Started With #MachineLearning .NET (ML.NET ) by @syedshanu3 cc @CsharpCorner goo.gl/URhWDs #DotNet #MLNET
I'm doing my final tweaks for my presentation for @DDDMelb this Saturday. :) I hope I'll see you there. #MachineLearning #mlnet
Getting Started With #MachineLearning .NET (ML.NET ) by @syedshanu3 cc @CsharpCorner goo.gl/URhWDs #DotNet #MLNET
Get more on the latest updates to Model Builder and improvements in #MLNET announced at #dotNET Conf 2019. Read the blog: msft.social/YkqhgF
Happening now @ #dotNETConf: What's new in #MLNET with @CesarDelatorre. Watch here: dotnetconf.net/?utm_source=do…
Today we’re sharing #MLNET 1.0 Release Candidate (RC)—one of the final steps before releasing the final ML .NET 1.0 RTM in 2019 Q2 calendar year. Find out more: msft.social/VkYNsJ
Use #MLNET to build custom machine learning solutions and integrate them into your #dotNET apps. Apply sentiment analysis, GitHub issue classification, price predictor, image classification, and more. Follow the tutorials: msft.social/oVwG1H
See how easy it is to infuse custom AI/ML into any #dotNET app with #MLNET and #VS2019. Follow along with the tutorial: msft.social/PLshFd
Making the jump from Marketplace to Installer, #MLNET Model Builder... Get the details: msft.it/6017Tijo5
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