The power of AI and ML to transform Social Science Research
- Indbinding:
- Paperback
- Sideantal:
- 264
- Udgivet:
- 19. februar 2024
- Størrelse:
- 140x16x216 mm.
- Vægt:
- 377 g.
- 8-11 hverdage.
- 9. december 2024
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- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
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Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af The power of AI and ML to transform Social Science Research
In this groundbreaking exploration, delve into the convergence of artificial intelligence (AI) and machine learning (ML) with the realm of social science research. "The Power of AI and ML to Transform Social Science Research" unveils a tapestry of innovative strategies and practical applications reshaping the landscape of scholarly inquiry.
Discover how explainable AI revolutionizes survey design, offering nuanced insights into participant behavior while upholding ethical standards. Explore advancements in research paradigms, from algorithmic survey design to augmented qualitative analysis, propelling methodologies beyond traditional confines. Enhanced analytics and methodologies unveil the potential of AI in social sciences, fostering robustness and precision in data interpretation.
Quantitative methods undergo a renaissance with quantum-inspired approaches and optimized questionnaire models, while data-driven decision-making empowers researchers with dynamic insights and predictive analytics. Through a synthesis of theory and practice, this book illuminates the transformative potential of AI and ML, offering a roadmap for scholars and practitioners to navigate the ever-evolving landscape of social science research.
Discover how explainable AI revolutionizes survey design, offering nuanced insights into participant behavior while upholding ethical standards. Explore advancements in research paradigms, from algorithmic survey design to augmented qualitative analysis, propelling methodologies beyond traditional confines. Enhanced analytics and methodologies unveil the potential of AI in social sciences, fostering robustness and precision in data interpretation.
Quantitative methods undergo a renaissance with quantum-inspired approaches and optimized questionnaire models, while data-driven decision-making empowers researchers with dynamic insights and predictive analytics. Through a synthesis of theory and practice, this book illuminates the transformative potential of AI and ML, offering a roadmap for scholars and practitioners to navigate the ever-evolving landscape of social science research.
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