Mastering .NET Machine Learning

Summary

We covered a lot of ground in this chapter. We looked at multiple linear regressions, logistic regressions, and then considered a couple of techniques to normalize our dataset. Along the way, we learned some new F# code and learned a way to update a machine learning model without impact on our end user experience.

In the next chapter, we take a break from AdventureWorks and line of business development and start working with some open data as a data scientist using a decision tree. As Dick Clark used to say, "The hits just keep coming."