Развитие магистерской программы "Искусственный интеллект и машинное обучение"
| Parent link: | Современные технологии, экономика и образование: сборник трудов Всероссийской научно-методической конференции, г. Томск, 27-29 декабря 2019 г./ Национальный исследовательский Томский политехнический университет ; под ред. А. Г. Фефеловой, Е. А. Покровской, И. О. Болотиной [и др.]. [С. 29-31].— , 2019 |
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| Diğer Yazarlar: | , |
| Özet: | Заглавие с титульного экрана The development of the master program "Artificial Intelligence and Machine Learning" is described. The foundations of this area were formed during the formation at the Department of Computer Engineering in 2004 of the scientific group of Intellectual Image Processing. In the process of developing a scientific group from 2007 to 2019, 9 candidate dissertations were defended. 4 initiative projects of the group are supported by the RFBR Grants. Currently, the educational process for the master's program is provided by 1 professor, doctor of technical sciences, 2 associate professors, candidate of technical sciences, 3 assistants and 8 graduate students. |
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2019
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| Seri Bilgileri: | Информационно-вычислительные и робототехнические системы |
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| Online Erişim: | http://earchive.tpu.ru/handle/11683/58189 |
| Materyal Türü: | Elektronik Kitap Bölümü |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=630983 |
| Özet: | Заглавие с титульного экрана The development of the master program "Artificial Intelligence and Machine Learning" is described. The foundations of this area were formed during the formation at the Department of Computer Engineering in 2004 of the scientific group of Intellectual Image Processing. In the process of developing a scientific group from 2007 to 2019, 9 candidate dissertations were defended. 4 initiative projects of the group are supported by the RFBR Grants. Currently, the educational process for the master's program is provided by 1 professor, doctor of technical sciences, 2 associate professors, candidate of technical sciences, 3 assistants and 8 graduate students. |
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