Over the course of this chapter, we have deep-dived into ML.NET's matrix factorization support. We have also created and trained our first matrix factorization application to predict music recommendations. Lastly, we also dove into how to evaluate a matrix factorization model and looked at the various properties that ML.NET exposes to achieve a proper evaluation of a matrix factorization model.
With this chapter coming to a close, we have also completed our initial investigation of the various models ML.NET provides. In the next chapter, we will be creating full applications, building on the knowledge garnered over the last few chapters, with the first being a full .NET Core application providing stock forecasting.
