Python is a good fit for Machine Learning, but there can be a few difficulties if other parts of the system are written using C#. In this article, we take a closer look on ML.NET − a Machine Learning library for C# that helps solve these problems and delivers Machine Learning features in a .NET environment more quickly.
Many real-life Machine Learning use cases imply multi-tenant architecture and require training a model for every user. As a result, you may end up with thousands of ML models running a single server, which affects the application’s scalability and manageability. Here’s how we can solve this problem.
Data analytics significantly helps businesses gain insights and draw helpful conclusions that guide future strategy. This article examines the different types of data analytics, the benefits of the approaches, how to get started, and how to avoid common mistakes.