SELECTING METHODS OF SIGNIFICANT DATA FROM GATHERED DATASETS FOR RESEARCH
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Abstract
Nowadays, the development of artificial intelligence, the emergence of optimal decision-making opportunities with the help of machine learning algorithms is increasing interest in data analysis. Because making optimal decisions with the help of intelligent algorithms is closely related to the analysis of primary data. One of the most important steps in data analysis is extracting the necessary data from the collected dataset. In this research work, opinions are given about the methods of extracting important data for achieving the intended objective function from the data set formed. The results of the practical experience obtained during the research are described.
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