Summary
Chapters
Video Info
Ganna Pogrebna, PhD, Professor of Behavioral Economics and Data Science at the University of Birmingham and ESRC Alan Turing fellow at the Alan Turing Institute, discusses her research developing anthropomorphic learning models to study decision theory, including ways anthropomorphic learning can be used and how it differs from other models, combining decision theory with machine learning, limitations of the model, traditional methods used in development of the model, challenges faced, benefits of applying social science to computer and data science, and advice for students.
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Chapter 1: How can Anthropomorphic Learning Be Used, and How is it Different From Other Methods?
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Chapter 2: How do You Combine the Decision Theory With the Machine Learning Models?
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Chapter 3: What are the Limitations With This Model?
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Chapter 4: Have You Used Any Traditional Methods in Developing This New Model?
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Chapter 5: Have There Been Any Challenges in Developing This Model?
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Chapter 6: What are the Benefits of Applying Social Science to Computer and Data Science?
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Chapter 7: What Advice would You Give to Students?
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Chapter 8: Conclusion
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