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Intelligent systems. Theory and applications, 2022, Volume 26, Issue 1, Pages 146–152
(Mi ista346)
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This article is cited in 1 scientific paper (total in 1 paper)
Part 3: Big Data Mining
Teaching the fundamental bases of artificial intelligence as the implementation of the concept of new scientific knowledge
S. T. Glavatsky, I. G. Burykin Faculty of Mechanics and Mathematics, Moscow Lomonosov State University
Abstract:
The modern situation of the development of society is considered, when it comes close to the perception of methods and means of artificial intelligence (AI) in everyday life as the implementation of the principles of new scientific knowledge (doctrine) based on the foundation of «Data Science». The author's concept of constructing educational trajectories in the training of specialists in the field of AI is offered.
Keywords:
artificial intelligence, higher education, data scientist, data engineer, data analyst.
Citation:
S. T. Glavatsky, I. G. Burykin, “Teaching the fundamental bases of artificial intelligence as the implementation of the concept of new scientific knowledge”, Intelligent systems. Theory and applications, 26:1 (2022), 146–152
Linking options:
https://www.mathnet.ru/eng/ista346 https://www.mathnet.ru/eng/ista/v26/i1/p146
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Statistics & downloads: |
Abstract page: | 72 | Full-text PDF : | 19 | References: | 14 |
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