This chapter presents a summary review of prerequisite concepts from statistics, mathematics and computer science, although readers are expected to have a nodding familiarity with most of them. It also provides some background on a number of computational problems and data sets used in the book or particularly useful for data science and dimensionality reduction; as well as a review of computing environments and platforms that could be used as a playground to run and test the methods and solutions described in this book. The aim is to provide a refresher of what they are and point to sources in the literature where they could be studied in more detail, if needed.

Publication Title

Dimensionality Reduction in Data Science