In this chapter, we started out by reviewing the idea of data structures, data models, and databases, and found similarities and differences between them.
Next, we provided an overview of machine learning and related concepts, and then compared the practice of a machine learning statistical project to a database development project.
Finally, we touched on a conceptual use of R and applying machine learning techniques to data from a database.
As this book was aimed at helping the typical data or database developer transition into the world of statistics, we hope the reader has established a sound understanding of the relevant topics in statistics and data science.
Good luck!
