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Data Science: An Introduction
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0002-2929-0529
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0002-0368-8037
2019 (English)In: Data Science in Practice / [ed] Alan Said, Vicenç Torra, Springer, 2019, p. 1-6Chapter in book (Refereed)
Abstract [en]

This chapter gives a general introduction to data science as a concept and to the topics covered in this book. First, we present a rough definition of data science, and point out how it relates to the areas of statistics, machine learning and big data technologies. Then, we review some of the most relevant tools that can be used in data science ranging from optimization to software. We also discuss the relevance of building models from data. The chapter ends with a detailed review of the structure of the book.

Place, publisher, year, edition, pages
Springer, 2019. p. 1-6
Series
Studies in Big Data, ISSN 2197-6503, E-ISSN 2197-6511 ; 46
National Category
Computer and Information Sciences Other Computer and Information Science
Research subject
Skövde Artificial Intelligence Lab (SAIL)
Identifiers
URN: urn:nbn:se:his:diva-16778DOI: 10.1007/978-3-319-97556-6_1ISI: 000464719500002ISBN: 978-3-319-97556-6 (electronic)ISBN: 978-3-319-97555-9 (print)OAI: oai:DiVA.org:his-16778DiVA, id: diva2:1305132
Available from: 2019-04-15 Created: 2019-04-15 Last updated: 2019-09-30Bibliographically approved

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