Why use ML .NET?

Powerful, versatile, efficient, and intuitive machine learning in .NET.

In this short article we’ll cover why you should use ML.NET, Microsoft’s open-source machine learning and AI framework.

ML .NET is Production Ready

When organizations want to start adding machine learning or AI to their technical stack, the conversation often turns to other languages like Python or R. Typically organizations moving to AI / ML for the first time aren’t sure how to get started and so they look at the popular libraries and languages, such as SciKit-Learn and Python.

While these libraries and languages are powerful and there are certainly many resources available to them, the difference between the programming languages and frameworks organizations use to power their existing applications and those languages used to train models can make model deployment and maintenance difficult.

Python as a separate tech stack and skillset your team needs to worry about

ML .NET allows you to use .NET for as much of your data science stack as you’d like, from data analysis to model training and evaluation to model deployment, inferencing, and MLOps maintenance.