Summary
Constructing ML pipelines concludes the part of the book that focuses on the core technical aspects of ML. Pipelines are important for ensuring that the ML models are used according to best practices in software engineering.
However, ML pipelines are still not a complete ML system. They can only provide inference of the data and provide an output. For the pipelines to function effectively, they need to be connected to other parts of the system such as the user interface and storage. That is the content of the next chapter.
