What Is Data Science (DS)?

Max Garzon (), Ching-Chi Yang () and Lih-Yuan Deng ()
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Max Garzon: The University of Memphis, Computer Science
Ching-Chi Yang: The University of Memphis, Mathematical Sciences
Lih-Yuan Deng: The University of Memphis, Mathematical Sciences

Chapter Chapter 1 in Dimensionality Reduction in Data Science, 2022, pp 1-28 from Springer

Abstract: 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.

Date: 2022
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DOI: 10.1007/978-3-031-05371-9_1

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