In this chapter, we discussed many aspects of machine learning with C#, different strategies for implementing your code—such as build, buy, or open source—as well as lightly touch upon some important definitions. I hope this got you ready for the chapters to come.

Before we dive right into our source code and applications, I want to take some time to discuss with you something that is very near and dear to my heart: logging. It's something that we all do (or should do), and there is a phenomenal tool out there that you need to know about if you do not already. We'll be using it quite a bit in this book, so it's definitely helpful to spend some time on it up front, starting in the next chapter.