In this chapter, we created a machine learning microservice. We learned how to create a message flexible enough to accept a wide variety of parameters. We also created a neural network, trained it, and obtained the final results. The beauty of this is that there are so many open source frameworks that you could chose to integrate, and all you have to do is follow this simple approach and you're off!
In the next chapter we are going to develop a quantitative financial Microservice (Quant for short) and show you some fascinating things you can do with it.
