Modern applications of machine learning V. O. Sibirtseva
Material type:
ArticleContent type: Текст Media type: электронный Subject(s): машинное обучение | искусственный интеллект | сфера деятельности | автоматизацияGenre/Form: статьи в сборниках Online resources: Click here to access online
In:
Инноватика-2021 : сборник материалов XVII Международной школы-конференции студентов, аспирантов и молодых ученых, 22-23 апреля 2021 г., г. Томск, Россия С. 373-374Abstract: Machine learning is a branch of artificial intelligence based on the idea that machines should be able to learn and adapt through the use of past experience. The goal of machine learning is to partially or completely automate the solution of complex professional tasks in various areas of human activity. The scope of machine learning is constantly expanding. With the constant development of scientific and technological progress, informatization leads to the accumulation of huge amounts of data. Forecasting, management, and decision-making tasks are now solved using machine learning methods.
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Machine learning is a branch of artificial intelligence based on the idea that machines should be able to learn and adapt through the use of past experience. The goal of machine learning is to partially or completely automate the solution of complex professional tasks in various areas of human activity. The scope of machine learning is constantly expanding. With the constant development of scientific and technological progress, informatization leads to the accumulation of huge amounts of data. Forecasting, management, and decision-making tasks are now solved using machine learning methods.
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