AN ALGORITHM FOR EXTRACTING INFORMATICS FEATURES FROM DATA USING ARTIFICIAL INTELLIGENCE METHODS

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  • Begmatov Komiljon Uktam uglu ##default.groups.name.author##

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Artificial intelligence, data, computer science, algorithm, natural language processing (NLP), machine learning (ML), deep learning (DL), technology, machine learning, deep learning methods, SVM, KNN, CNN, RNN, text, image and audio, format.

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The article reviews algorithms for extracting informatics features from data using artificial intelligence methods. Extracting informatics features is the process of identifying important and useful information from a data set. This process is carried out, in particular, using natural language processing (NLP), machine learning (ML), and deep learning (DL) technologies. The article covers in detail the stages of data collection, preprocessing, feature extraction, and selection, as well as algorithms for extracting informatics features using machine learning and deep learning methods (e.g., SVM, KNN, CNN, RNN).

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  • Begmatov Komiljon Uktam uglu

    Qarshi State Technical University,

    Student of the Department of Telecommunication Technologies

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2025-05-23

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##issue.vol## 26 ##issue.no## 6 (2025): Modern education and development

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Articles

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AN ALGORITHM FOR EXTRACTING INFORMATICS FEATURES FROM DATA USING ARTIFICIAL INTELLIGENCE METHODS. (2025). Modern Education and Development, 26(6), 81-86. https://scientific-jl.com/mod/article/view/15850