Data Analytics and Machine Learning.

Paula Järvinen; Pekka Siltanen; Amit Kirschenbaum

doi:10.1007/978-3-030-71069-9_10

Data Analytics and Machine Learning.

Paula Järvinen
, Pekka Siltanen
, Amit Kirschenbaum

BA5607 Data-driven sustainability

Leipzig University

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

5 Citations (Scopus)

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 language	English
Title of host publication	Big Data in Bioeconomy
Subtitle of host publication	Results from the European DataBio Project
Editors	Caj Södergård
Publisher	Springer
Chapter	10
Pages	129-146
Number of pages	18
ISBN (Electronic)	978-3-030-71069-9
ISBN (Print)	978-3-030-71068-2
DOIs	https://doi.org/10.1007/978-3-030-71069-9_10
Publication status	Published - 14 Aug 2021
MoE publication type	A3 Part of a book or another research book

Keywords

data-driven bioeconomy
big data
artificial intelligence
data analysis

Access to Document

10.1007/978-3-030-71069-9_10Licence: CC BY-ND

Cite this

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AU - Siltanen, Pekka

AU - Kirschenbaum, Amit

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AB - 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.

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KW - big data

KW - artificial intelligence

KW - data analysis

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ER -

Data Analytics and Machine Learning.

Abstract

Keywords

Access to Document

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Big Data in Bioeconomy: Results from the European DataBio Project

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