Learn how to build a real-time sentiment analysis app in C# using ML.NET and WPF—no Python or external APIs required. This hands-on guide walks you through training a custom model, integrating it into a desktop GUI, and making your .NET apps smarter with local machine learning.
Software Development and AI
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Learn about the intersection of AI and software development. This category covers topics related to using AI for software testing, performance optimization, and creating AI personal assistants, emphasizing how AI can enhance software development processes in .NET and C#.
Want to build intelligent applications using .NET? In this hands-on guide, you’ll learn how to use ML.NET to create machine learning models in C#—no Python or advanced math required. From predicting house prices to analyzing text sentiment, this beginner-friendly tutorial walks you through everything you need to start building real AI solutions in your .NET apps.
Learn how to structure and optimize your PyTorch training workflow. This guide covers dataset preparation, defining models, training loops, evaluation, and essential best practices for building efficient machine learning models.
Delve into the cutting-edge world of Reinforcement Learning (RL) with C#. In this blog, we explore how you can harness the power of RL to build intelligent agents capable of learning and adapting from their environment. Whether you’re a seasoned C# developer or new to the field of AI, this post provides insights and practical guidance on integrating RL into your software projects, unlocking the potential of your applications to make smarter, more autonomous decisions.