ML.NET is a cross-platform, open-source machine learning framework for .NET developers. For those just starting in machine learning, understanding ML.NET's catalogs is essential. It provides various "catalogs," which are collections of algorithms and transformations for different types of machine learning tasks. Each catalog in ML.NET is designed for specific types of machine learning tasks, offering various algorithms and methods suitable for those tasks.
ML.NET Catalogs and Use Cases
Here's an overview of some of the key catalogs in ML.NET and examples of real-world scenarios where they might be used: