Summary

This chapter introduced the most popular unsupervised data-mining and machine-learning methods, including the association rules, the different types of clustering, the principal-component analysis, and the factor analysis. In addition, you learned how to add either R or Python packages to the ML services (In-Database). After warming up in the first three chapters, the complexity of the work and the analyses have increased. I have left the supervised methods, which are used for probably the most exciting part—predictive analytics—for the last chapter of this book.