KabirWhat is ML.NET?
It is an open source and cross-platform machine learning framework. You can create custom ML models using C# or F# without having to leave the .NET ecosystem. lets you re-use all the knowledge, skills, code, and libraries you already have as a .NET developer so that you can easily integrate machine learning into your web, mobile, desktop, gaming, and IoT apps.
ML.NET is a tool in the Platform as a Service category of a tech stack.
Key Features
Machine Learning in .NETApproachable machine learning in Visual Studio using an interactive interfaceCustom ML made easy with AutoMLExtended with TensorFlow & moreHigh performance and accuracy
ML.NET Pros & Cons
Pros of ML.NET
No pros listed yet.
Cons of ML.NET
No cons listed yet.
ML.NET Alternatives & Comparisons
What are some alternatives to ML.NET?
NGINX
nginx [engine x] is an HTTP and reverse proxy server, as well as a mail proxy server, written by Igor Sysoev. According to Netcraft nginx served or proxied 30.46% of the top million busiest sites in Jan 2018.
WordPress
The core software is built by hundreds of community volunteers, and when you’re ready for more there are thousands of plugins and themes available to transform your site into almost anything you can imagine. Over 60 million people have chosen WordPress to power the place on the web they call “home” — we’d love you to join the family.
Apache HTTP Server
The Apache HTTP Server is a powerful and flexible HTTP/1.1 compliant web server. Originally designed as a replacement for the NCSA HTTP Server, it has grown to be the most popular web server on the Internet.
