Building an Example ML Microservice
This chapter will be all about bringing together some of what we have learned in the book so far with a realistic example. This will be based on one of the scenarios introduced in Chapter 1, Introduction to ML Engineering, where we were required to build a forecasting service for store item sales. We will discuss the scenario in a bit of detail and outline the key decisions that have to be made to make a solution a reality, before showing how we can employ the processes, tools, and techniques we have learned through out this book to solve key parts of the problem from an ML engineering perspective. By the end of this chapter, you should come away with a clear view of how to build your own ML microservices for solving a variety of business problems.
In this chapter, we will cover the following topics:
- Understanding the forecasting problem
- Designing our forecasting service
- Selecting the tools
- Training at scale ...
