A Brief Technical Introduction Of ML.NET - Coffee with CIS - Latest News & Articles

A Brief Technical Introduction Of ML.NET

Till now, .NET has been employed to create applications for cloud, web, gaming, mobile, IoT, and Desktop.

But now it would also be utilized to build apps efficient in Machine Learning as well. It’s made possible by Microsoft with ML.NET.

From around a decade, ASP.NET development services were thriving among numerous development companies. But experts believe asp.net application development would be soon replaced by cross-platform applications such as ML.NET.

In this article, we would discuss the impressive integration of .NET and Machine Learning technologies. Moreover, I would list out some bullets on its features, core architecture, and how would it be helpful for your business.

So, Let’s begin.

What Is ML.NET?

A blend of machine learning and .net programming language is referred as ML.NET. Microsoft launched this unique mixture of technologies as an open-source and cross-platform system. Machine learning has been open sourced by Microsoft to integrate it with .net framework.

ML.NET is a result of research of about 10 years. Its first version (0.1.0) was released in May’18, however, currently, we have been served with its 0.7.0 version too. ML.Net would allow developers to build their own machine learning models in any .NET language. Which can be further used on any devices.

With ML.NET, the programmers would be able to build modern solutions with customized machine learning. This would be an easy process for them as they will not be required to learn all the underlying technical details of developing machine learning solutions.

ML.NET would enable .net development company to leverage Machine Learning technology for the following tasks:

  • Clustering
  • Regression (price prediction, forecasting)
  • Classification (sentiment analysis, text categorization)

Details Of ML.NET Release

Addition of such integrated technologies on our table is definitely beneficial. The world is aligning towards modern technologies such as Artificial Intelligence (AI), Machine Learning (ML), AR/VR, Blockchain and many more. These technologies are simplifying our life in each and every field.

ML.NET is fluent in its syntax and also offers an easy to use API. It also utilized parallel terminology with frameworks such as Keras, Tensorflow, sci-kit-learn, et cetera. It’s therefore highly developer-friendly.

Let’s now understand the technical aspect of ML.NET:

  • ML.NET framework by Microsoft would be supported and compatible with MacOs, Linux, and Windows with a 64-bit or any latest .NET core.
  • Similar to Microsoft's other products such as Azure, Bing, and Windows, ML.NET can also be accessed by the same channel.
  • With its latest version, ML.NET is equipped with native tensorflow support.

Note: Tensorflow is an open-source library for machine learning professionals.

Read the blog- Why choose .NET Frameworks for dynamic Applications Development

  • It would be supporting ONNX (open neural network exchange), which would help in exporting the model from one framework to another. [for more information, you can visit onnx.ai].
    • Supported by: Caffe2, MXNext, CNTKK, PyTorch
    • ONNXML Tools: Keras, Apple CoreML, xgboost, libSVM, scikit-learn (only for 64 bit)
  • Recently, it was announced that infer.NET, a project developed by Microsoft Research Cambridge team would be supported by ML.NET. It’s a framework for graphical models. Additionally, it can be employed for probabilistic programming.

Features of ML.NET

The features included in the first release of ML:.NET framework consisted of training and predictive models. However, there were some core components like transforms, core machine-learning data structures, and learning algorithms as well.

ML.NET has been updated nearly every month since its launch. Developers have also witnessed a significant change in its features. It has become developer friendly with pipeline application program interface (API).

 With all these technical details and features of ML.NET, asp net application development is undoubtedly going to face tough competition in the development world.

How would ML.NET Help Your Business?

If you’re a programming or application expert, you must have received the idea of what ML.NET can present to your business. However, if you’re on a managerial position then here are some points that may help you understand the benefits that ML.NET possesses for your business:

  • Cross-Platform & Open source
  • Improve Efficiency of applications
  • Fast & Reliable
  • Extensible and Proven

Conclusion

Now, I won’t say that there is no other machine learning platform available for developers. There are many best web development company which are now entering the field of applications which are integrated with Machine Learning. ML.NET is developer friendly edition to other software developing platforms.

With ML.NET bridging the gap between the .NET developers and machine learning models; it’s becoming more comprehensible and viable option with all the features it offers. Many experts think that this blending of frameworks would definitely bring modifications in the applications that .net development company builds. Moreover, be it a smaller application by a small company or a larger application by the big enterprise, ML.NET is surely going to benefit each and every one of them.

We hope you’re now well versed with what exactly ML.NET is and what it has to offer. For any other queries, you may contact us on sales@cisin.com.