METHODOLOGICAL FOUNDATIONS OF ARTIFICIAL INTELLIGENCE ALGORITHMS
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Abstract
This article analyzes the methodological foundations of artificial intelligence algorithms. Methodological approaches assist in scientifically managing algorithm development, data processing, machine learning, and deep learning processes. The study examines the operational mechanisms of algorithms, criteria for selecting methods, and ways to improve their efficiency. The results demonstrate the importance of a methodological approach in designing artificial intelligence systems.
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