Artificial Intelligence and Machine Learning are two of the most talked-about technologies in the world at the moment. They are creating a lot of buzz in the world as they have the potential to bring changes beyond imagination. They are capable of transforming the way everything works, and therefore, there is a lot that is expected from AI and ML.
In fact, they are being added in most of the modern applications, tools, solutions, and programs as well. And, AI and ML are being infused in the .NET applications too.
All about Microsoftās .NET framework
.NET is an assortment of technical support that empowers both companies and individual users. As it offers a unified interface for all the computational devices, .NET covers a large variety of languages in one umbrella. Therefore, it turns out to be an ideal option for development. .NET is winning the race when it comes to the development models that might look perfect to make AI and ML applications.
There are a few of the top benefits that it offers, which make it an ideal choice for making AI and ML applications development. Thatās not it, AI and ML can be a part of many .NET applications. .NET is a perfect framework for developing business-focused apps.
ASP.NET is preferred because of a lot of reasons, and one of them is the fact that it radically decreases the lines of code needed to develop big sized applications. There are a few of the other top reasons that make it a perfect choice for businesses. And now, even AI and ML can be infused in .NET applications.
AI and ML in .NET Applications
.NET developers have a wide range of options for adding AI and ML in their apps. Tools like Tensor, a few Pre-built tools, Azure Machine Learning and Deep Learning Using Microsoft Cognitive Toolkit (CNTK) could be used to integrate AI and ML in the .NET applications. The developers get a chance to develop their models. They can even choose from a wide range of built-in APIs.
Basically, the APIs and the modules should help the engineers to integrate the power of artificial intelligence in the application without extensive or long codes. .NETāÆdevelopers can also use several other tools like CNTK, Xamarin, CoreMl, Cognitive Service Bots, etc. In fact, they can even make customized models.
For the simplification of the codes, the .NET developers maintain modularity all through the development environment. Also, they have more flexibility in integrating or using the framework libraries along with the key components when needed for the creation of the application.
The developers are also familiar with ML.NET, a cross-platform for ML. It is an open-source platform. It can be used to make ML applications or infuse ML in customized apps. Even if you are not well-versed with ML you can still use this framework to add ML in the applications.
Microsoft Cognitive Services
Microsoft Cognitive Services are APIs that empower the developers to tap into an evolving set of strong AI algorithms. The algorithms are developed by vision, natural language processing, web search, computer speech as well as the knowledge extraction specialists. The algorithms are developed very intelligently and they are extremely reliable. Therefore, if you use these algorithms than the chances of any hassle or issue are very less. Also, the complete process of the infusion of AI becomes a cakewalk with Microsoft Cognitive Services.
Bot Framework
An artificial intelligence centered system, Bot framework is used to develop smart bots. The bots uniquely link the clients from diverse platforms. Basically, it is used to upgrade the application and the integration of AI and ML possible. .NET is one of the most popular frameworks for application development. And, even the modern applications that contain the touch of AI and ML could be developed using .NET.
However, it is just that the developers should know the tools and techniques to use to infuse AI and ML in the .NET applications. Other than the things listed above, the developers even use Azure Machine Learning and a few other tools, techniques and solutions to infuse AI and ML in the .NET applications.
