Chapter 2. Data Pipelines and Modeling
We have looked at basic hands-on tools for exploring the data in the previous chapter, thus we now can delve into more complex topics of statistical model building and optimal control or science-driven tools and problems. I will go ahead and say that we will only touch on some topics in optimal control since this book really is just about ML in Scala and not the theory of data-driven business management, which might be an exciting topic for a book on its own.
In this chapter, I will stay away from specific implementations in Scala and discuss the problem of building a data-driven enterprise at a high level. Later chapters will address how to solve these smaller pieces of the puzzle. A special emphasis will ...
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