AI Meets .NET: Building Intelligent Apps with .NET 9
.NET 9 has some great new features, like better performance, better support for cloud-native apps, and a refined ecosystem that works really well with AI workloads. It's got APIs that…
Building Smarter Apps with ML.NET: Sentiment Analysis in .NET 9
Post Views: 677 ML.NET is a tool for machine learning that was created by Microsoft. Itâs designed for developers who are familiar with the .NET framework. With ML.NET, you can…
API Error Handling Best Practices in Modern .NET Applications
Post Views: 44 Background There was a time when my wife and I were both working for a U.S.-based company from Nepal. Since the platform we worked on was an…
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How to Run DeepSeek Locally with Ollama and Open WebUI in a Docker Container
Post Views: 61 Artificial Intelligence (AI) is revolutionizing how we interact with technology, and conversational AI models such as ChatGPT and DeepSearch have led that change. DeepSeek Artificial Intelligence Co.,…
Data Preprocessing in ML.NET: Turning Messy Data into Machine Learning Magic
Preprocessing is where data transforms from raw potential to machine learning gold. It's part science, part art, and 100% critical.
What Is Quartz.NET And How To Implement In ASP.NET Core For Job Scheduling
Post Views: 1,014 Introduction Quartz.NET is an open-source job scheduling library for .NET applications, enabling developers to execute background tasks at specified times or intervals. This article explains what is…
Application Logging with Serilog and SEQ in .NET 9
Post Views: 1,239 Introduction Serilog is a diagnostic logging library tailored for .NET applications. It offers a straightforward, flexible, and robust solution for logging application events, errors, and other critical…
Optimizing Entity Framework Performance in .NET 9: Best Practices & Pro Tips
Entity Framework (EF) is the most popular object-relational mapper (ORM) for .NET developers. It provides an abstraction over database access and improves developer productivity. With the release of .NET 9,…
Real-Time Anomaly Detection in Server Logs with .NET 9 and ML.NET
From classification to time-series analysis, ML.NET equips developers to tackle diverse machine learning challenges. This example demonstrates how to detect error spikes, but the frameworkâs flexibility allows for real-time monitoring,…
White Space Viewing in Visual Studio
Post Views: 620 This write up demonstrate how we can view the white space in our coe and maintain th equality and follow standard coding style. To view the white…