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EDITORIAL MAIN CURRENT DATA SCIENCE AND ARTIFICIAL INTELLIGENCE ADVANCEMENTS AND CHALLENGES Prof. Dimitrios A. Karras, PhD* *Canadian Institute of Technology, Faculty of Engineering, Software Engineering

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Main current data science refers to the interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It involves techniques from statistics, machine learning, data mining, and information science.

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Information reported in main current data science should include data sources, methodologies used in analysis, findings and insights derived, limitations of the analysis, and recommendations based on the analysis. Transparency and reproducibility are key aspects.

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