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Features of machine learning in the study of the main factors of development of countries of the wor...

Features of machine learning in the study of the main factors of development of countries of the wor...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5c0132863c4b41aabc836be3b3b81a1b

Features of machine learning in the study of the main factors of development of countries of the world

About this item

Full title

Features of machine learning in the study of the main factors of development of countries of the world

Publisher

Les Ulis: EDP Sciences

Journal title

SHS web of conferences, 2021, Vol.110, p.2006

Language

English

Formats

Publication information

Publisher

Les Ulis: EDP Sciences

More information

Scope and Contents

Contents

The paper analyzes the socio-economic and demographic indicators of life expectancy in the countries of the world. Methods of regression analysis and machine learning are used. Statistically significant indicators that affect life expectancy around the world have been identified. When analyzing the data using machine learning methods, 13 of the 14...

Alternative Titles

Full title

Features of machine learning in the study of the main factors of development of countries of the world

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_5c0132863c4b41aabc836be3b3b81a1b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5c0132863c4b41aabc836be3b3b81a1b

Other Identifiers

ISSN

2261-2424,2416-5182

E-ISSN

2261-2424

DOI

10.1051/shsconf/202111002006

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