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.
Publication Title
Dimensionality Reduction in Data Science
Recommended Citation
Garzon, M., Yang, C., & Deng, L. (2022). What is data science (ds)?. Dimensionality Reduction in Data Science, 1-28. https://doi.org/10.1007/978-3-031-05371-9_1
