Using cloud-based machine learning technologies in limited funded social research

S. V. Romanchukov, O. G. Berestneva, E. V. Berezhnova

Research output: Contribution to journalConference articlepeer-review

Abstract

This work is devoted to the description of cloud solutions for machine learning, which are already used in the business data analysis and may be applicable in the social sciences. First of all, the article is addressed to specialists in sociology/psychology/economics/gender studies, who need a deep analysis of the accumulated data, but at the same time do not have sufficient expertise in the field of mathematics, machine learning and Big Data processing and/or do not have sufficient funding to support the staff of professional analysts or data scientists. Using as an example one dataset, the size and structure of which are comparable with those for various social studies, we go through all stages of training and testing the model in Google Cloud AI and IBM Watson Auto AI, comparing their advantages and disadvantages.

Original languageEnglish
Article number012076
JournalJournal of Physics: Conference Series
Volume1661
Issue number1
DOIs
Publication statusPublished - 10 Nov 2020
Event2020 International Conference on Information Technology in Business and Industry, ITBI 2020 - Novosibirsk, Russian Federation
Duration: 6 Apr 20208 Apr 2020

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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