Data Science Research Methods
Data Science Research Methods refers to the systematic, scientific processes and strategies employed in investigating and understanding data-related phenomena within the context of Data Science and Artificial Intelligence. It encompasses various techniques and approaches aimed at extracting knowledge and deriving insights from complex data sets, including but not limited to experimental design, statistical modeling, machine learning algorithms, and visualization techniques. By employing these methods, researchers and practitioners in the field of Technology, Data Science, and Artificial Intelligence can advance their understanding of data-related issues, inform decision-making processes, and drive innovation in a rapidly evolving technological landscape.