What Is Data Science (DS)?

Abstract

Our ability to generate, gather, and store volumes of data (order of tera- and exo-bytes (10¹²–10¹⁸ bytes) daily) has far outpaced our ability to derive useful information from it in many fields, with available computational resources. The theme of this book is a review of Data Science (DS) through the lens of Dimensionality reduction (DR). Data science is about solving problems based on observations of factors (referred to as co-variates, predictors, or just features) that may determine a solution. Typical kinds of problems are described, including classification, prediction, and clustering problems, as well as data collection methods.