Data Analytics and Machine Learning.

Paula Järvinen, Pekka Siltanen, Amit Kirschenbaum

Research output: Chapter in Book/Report/Conference proceeding › Chapter or book article › Scientific › peer-review

Abstract

t In this chapter we give an introduction to data analytics and machine learning technologies, as well as some examples of technologies used in the DataBio project. We start with a short intdroduction of basic concepts. We then describe how data analytics and machine learning markets have evolved. Next, we describe some basic technologies in the area. Finally, we describe how data analytics and machine learning were used in selected pilot cases of the DataBio project.
Original languageEnglish
Title of host publicationBig Data in Bioeconomy
Subtitle of host publicationResults from the European DataBio Project
EditorsCaj Södergård
PublisherSpringer
Chapter10
Pages129-146
Number of pages18
ISBN (Electronic)978-3-030-71069-9
ISBN (Print)978-3-030-71068-2
DOIs
Publication statusPublished - 14 Aug 2021
MoE publication typeA3 Part of a book or another research book

Keywords

  • data-driven bioeconomy
  • big data
  • artificial intelligence
  • data analysis

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  • 1 Book (author)

  • Big Data in Bioeconomy: Results from the European DataBio Project

    Södergård, C. (Editor), Mildorf, T. (Editor), Habyarimana, E. (Editor), Berre, A. J., Fernandes, J. A. (Editor) & Zinke-wehlmann, C. (Editor), 2021, Springer. 423 p.

    Research output: Book/Report › Book (author) › Scientific › peer-review

    Open Access

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