Build your first ML-Model with ML.NET Model Builder
Excited to dive into machine learning in .NET? With the aid of tools like ML.NET Model Builder and Visual Studio, it's a breeze. Here's a preview of the steps you'll take: 1. Download Visual Studio 2022 with .NET desktop development and ML.NET Model Builder. 2. Create a .NET console app named myMLApp. 3. Add a machine learning model named SentimentModel.mbconfig. 4. Choose the Data classification scenario. 5. Select Local (CPU) as the training environment. 6. Prepare and import your data. 7. Train the model. 8. Evaluate its performance. 9. Consume the model using provided code. 10. Run and debug to observe the results. Now you're all set to leverage ML.NET's prowess for predictive models in your .NET apps!The .NET Conf Student Zone is Back!
We are excited to announce the return of the .NET Conf Student Zone at this year’s .NET Conf 2023. The Student Zone is beginner-friendly, virtual event where experts will teach you how to build amazing projects – all using C# and .NET! This year, our experts will walk you through building mobile apps, AI applications, APIs, frontend web apps, and gaming projects.
Announcing the New Foundational C# Certification with freeCodeCamp
We are excited to announce the release of the new Foundational C# Certification in collaboration with freeCodeCamp. freeCodeCamp is a charity that creates free learning resources for math, programming, and computer science. The Foundational C# Certification is completely free, globally available, and includes a full 35-hour C# training course hosted on Microsoft Learn.
Friday Five: Azure Security Center, .Net API Browser, And More
First published on MSDN on Apr 20, 2018 From The Diary Of A MVP: Filling In The Community Activities FormRonen Ariely is senior consultant, applications & data architect, with more than 15 years' experience in variety programming languages and technologies, leading development teams, and software companies, SQL & BI enterprise level solutions
