Add to Favourites
To login click here
This article explores the integration of Artificial Intelligence (AI) with the .NET framework and delves into a real-world use case that exemplifies the power of this combination. The .NET framework is a preferred choice for building scalable and reliable applications, and its versatility, cross-platform compatibility, and extensive class libraries make it an ideal environment for AI development. ML.NET, an open-source, cross-platform machine learning framework, enables developers to incorporate machine learning models directly into their .NET applications. As an example, a predictive maintenance use case is discussed, where an ML.NET model is trained using historical data from equipment sensors for temperature and vibration.
