Research Methodology: Modern Research Methods, Data Analytics, Artificial Intelligence, and Academic Writing offers a comprehensive guide to the entire research lifecycle, integrating traditional research principles with cutting-edge technologies. It systematically covers foundational concepts, problem formulation, literature review, data collection, and both qualitative and quantitative research approaches. The book advances into detailed discussions on statistical analysis, data visualization, and the application of AI and machine learning for enhanced research processes, including AI-assisted literature discovery, predictive modeling, and responsible AI use.It also addresses digital research tools, reproducibility, and computational methods, emphasizing ethical research practices and integrity, including plagiarism, data management, and intellectual property. The academic writing section guides readers through structuring manuscripts, thesis writing, and navigating the publication process, including peer review and maximizing research visibility.Emerging trends such as big data analytics, open science, and AI-driven research are highlighted to prepare researchers.
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Taschenbuch. Condition: Neu. Research Methodology | Modern Research Methods, Data Analytics, Artificial Intelligence, and Academic Writing.Volume - 1 | Sumit Kumar Gupta (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786630384529 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 136790905
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Research Methodology: Modern Research Methods, Data Analytics, Artificial Intelligence, and Academic Writing offers a comprehensive guide to the entire research lifecycle, integrating traditional research principles with cutting-edge technologies. It systematically covers foundational concepts, problem formulation, literature review, data collection, and both qualitative and quantitative research approaches. The book advances into detailed discussions on statistical analysis, data visualization, and the application of AI and machine learning for enhanced research processes, including AI-assisted literature discovery, predictive modeling, and responsible AI use.It also addresses digital research tools, reproducibility, and computational methods, emphasizing ethical research practices and integrity, including plagiarism, data management, and intellectual property. The academic writing section guides readers through structuring manuscripts, thesis writing, and navigating the publication process, including peer review and maximizing research visibility.Emerging trends such as big data analytics, open science, and AI-driven research are highlighted to prepare researchers. 520 pp. Englisch. Seller Inventory # 9786630384529
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