Over the course of this chapter, we have deep dived into what goes into a production-ready Windows 10 UWP application architecture, using the work performed in previous chapters as a foundation. We also created a brand new web-page-classification Windows 10 application, utilizing the SdcaLogisticRegression algorithm from ML.NET. Lastly, we also discussed some ways to further enhance the example application (and production applications in general).
With the conclusion of this chapter, this ends the real-world application section. The next section of the book includes both general machine learning practices in an agile production team and extending ML.NET with TensorFlow and Open Neural Network Exchange (ONNX) models. In the next chapter, we will focus on the former.
