What are some advanced topics in ML.NET?

What are some advanced topics in ML.NET?

Some advanced topics in ML.NET include model optimization, custom algorithms, and integrating with deep learning frameworks.

Can you explain model optimization in more detail?

Model optimization involves techniques like hyperparameter tuning, feature selection, and using cross-validation to improve model performance.

What about custom algorithms? How can I implement them?

You can implement custom algorithms in ML.NET by creating a new class that inherits from the appropriate base class and overriding necessary methods.

Are there any resources for learning these advanced topics?

Yes, the official ML.NET documentation, online courses, and community forums are great resources for learning advanced topics.