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  Are you interested in learning about AI and Machine Learning (ML) with .NET ? In this article, we’ll break it down in simple, easy-to-understand words. If you're a beginner or have just started exploring the world of programming, this guide will help you understand how to use .NET for AI and ML. .NET is a powerful tool for building many different kinds of software, and it can be used for AI and Machine Learning too! Let’s dive into the basics and see how you can use .NET development services for your next AI or ML project. What is .NET? .NET is a platform used to build software applications. It is used for web apps, mobile apps, and much more. The . NET Framework is the part of .NET that allows developers to create powerful applications. You can use .NET development company services to create applications that can do a lot of amazing things, including working with AI and Machine Learning. What is AI and Machine Learning? AI (Artificial Intelligence) helps computers think ...

.NET Core is a powerful technology for building fast, secure, and scalable applications. Many businesses use it to develop web, mobile, and cloud applications. With continuous updates, .NET Core is shaping the future of software development. This guide explains why .NET Core is important and how it will grow in modern application development. Why .NET Core is the Future? .NET Core is widely used because it offers: Cross-Platform Support – Works on Windows, Linux, and macOS . High Performance – Faster than the traditional .NET Framework . Open Source – Developers can modify and improve it. Scalability – Ideal for small and large applications. Cloud Integration – Supports modern cloud-based apps . Key Features of .NET Core 1. Cross-Platform Compatibility Applications run on multiple operating systems. Developers write one codebase and use it anywhere. 2. Performance and Speed .NET Core runs faster than the .NET Framework. It handles high traffic and large data processing easily. 3...