Review of some contemporary trends in machine learning technology

The construction of machine learning systems constitutes today one of the most popular, relevant and modern areas of human activity at the interface of information technology, mathematical analysis and statistics. Machine learning penetrates deeper into our lives through custom products created with...

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Autor principal:	M. Koroteev
Formato:	article
Lenguaje:	RU
Publicado:	State University of Management 2019
Materias:	machine learning interpretability multitask models learning transfer learning neuroevolution automated machine learning Electronics TK7800-8360 Management information systems T58.6-58.62
Acceso en línea:	https://doaj.org/article/0ec3494d4a3f4d85b779654e658e593e
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id	oai:doaj.org-article:0ec3494d4a3f4d85b779654e658e593e
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spelling	oai:doaj.org-article:0ec3494d4a3f4d85b779654e658e593e2021-11-14T15:54:16ZReview of some contemporary trends in machine learning technology2658-34452686-840710.26425/2658-3445-2018-1-26-35https://doaj.org/article/0ec3494d4a3f4d85b779654e658e593e2019-02-01T00:00:00Zhttps://e-management.guu.ru/jour/article/view/5https://doaj.org/toc/2658-3445https://doaj.org/toc/2686-8407The construction of machine learning systems constitutes today one of the most popular, relevant and modern areas of human activity at the interface of information technology, mathematical analysis and statistics. Machine learning penetrates deeper into our lives through custom products created with the assistance of artificial intelligence methods. Obviously, that these technologies will develop further, gradually becoming a part of everyday routine in many areas of human professional activity. However, since its occurence, machine learning has managed to acquire numerous problems, the main of which, according to authors, is a rather high labor intensity. The construction of machine learning systems requires a huge amount of time of highly professional specialists both in the field of artificial intelligence and in the subject area to which this technology is applied. In this article we reviewed the main innovations in the field of machine learning methodology, which, can influence significantly on the development of this industry. Also an analysis of modern scientific literature devoted to the development of methodology and areas of applied employment of the issues, we are considering, has been carried out. In addition, assumptions were formulated about future trends in the development of machine learning as a field of scientific and applied knowledge and suggested the most promising areas of research. Such modern technologies in machine learning as the use of pre-trained models, the construction of multitasking systems, neuroevolution, the problem of creating interpreted models were considered. The authors believe that the most promising and relevant technology at the moment is automated machine learning, a complex of instrumental and methodological tools that allows to significantly reduce the share of human participation in the creation of artificial intelligence systems, including the means for automatic validation of simulation results.M. KoroteevState University of Managementarticlemachine learninginterpretabilitymultitask models learningtransfer learningneuroevolutionautomated machine learningElectronicsTK7800-8360Management information systemsT58.6-58.62RUE-Management, Vol 0, Iss 1, Pp 26-35 (2019)
institution	DOAJ
collection	DOAJ
language	RU
topic	machine learning interpretability multitask models learning transfer learning neuroevolution automated machine learning Electronics TK7800-8360 Management information systems T58.6-58.62
spellingShingle	machine learning interpretability multitask models learning transfer learning neuroevolution automated machine learning Electronics TK7800-8360 Management information systems T58.6-58.62 M. Koroteev Review of some contemporary trends in machine learning technology
description	The construction of machine learning systems constitutes today one of the most popular, relevant and modern areas of human activity at the interface of information technology, mathematical analysis and statistics. Machine learning penetrates deeper into our lives through custom products created with the assistance of artificial intelligence methods. Obviously, that these technologies will develop further, gradually becoming a part of everyday routine in many areas of human professional activity. However, since its occurence, machine learning has managed to acquire numerous problems, the main of which, according to authors, is a rather high labor intensity. The construction of machine learning systems requires a huge amount of time of highly professional specialists both in the field of artificial intelligence and in the subject area to which this technology is applied. In this article we reviewed the main innovations in the field of machine learning methodology, which, can influence significantly on the development of this industry. Also an analysis of modern scientific literature devoted to the development of methodology and areas of applied employment of the issues, we are considering, has been carried out. In addition, assumptions were formulated about future trends in the development of machine learning as a field of scientific and applied knowledge and suggested the most promising areas of research. Such modern technologies in machine learning as the use of pre-trained models, the construction of multitasking systems, neuroevolution, the problem of creating interpreted models were considered. The authors believe that the most promising and relevant technology at the moment is automated machine learning, a complex of instrumental and methodological tools that allows to significantly reduce the share of human participation in the creation of artificial intelligence systems, including the means for automatic validation of simulation results.
format	article
author	M. Koroteev
author_facet	M. Koroteev
author_sort	M. Koroteev
title	Review of some contemporary trends in machine learning technology
title_short	Review of some contemporary trends in machine learning technology
title_full	Review of some contemporary trends in machine learning technology
title_fullStr	Review of some contemporary trends in machine learning technology
title_full_unstemmed	Review of some contemporary trends in machine learning technology
title_sort	review of some contemporary trends in machine learning technology
publisher	State University of Management
publishDate	2019
url	https://doaj.org/article/0ec3494d4a3f4d85b779654e658e593e
work_keys_str_mv	AT mkoroteev reviewofsomecontemporarytrendsinmachinelearningtechnology
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Review of some contemporary trends in machine learning technology

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