Predicting Inequality of Opportunity and Poverty in India Using Machine Learning
Mehta, Balwant Singh, Srivastava, Ravi, Dhote, Siddharth
Produktnummer:
1891e2f912e0c740b088dca07e32c827d8
| Autor: | Dhote, Siddharth Mehta, Balwant Singh Srivastava, Ravi |
|---|---|
| Themengebiete: | Educational Inequality Health Equity Human Well-Being Income Disparity Inequality of Opportunity in India Machine Learning Techniques Open Access Poverty Analysis Regional Inequality Socio-Economic Disparities |
| Veröffentlichungsdatum: | 23.04.2025 |
| EAN: | 9789819625437 |
| Sprache: | Englisch |
| Seitenzahl: | 169 |
| Produktart: | Gebunden |
| Verlag: | Springer Singapore |
Produktinformationen "Predicting Inequality of Opportunity and Poverty in India Using Machine Learning"
This open-access book combines traditional economic methods with newer machine learning techniques such as regression trees and random forests to analyse data and provide an in-depth analysis of inequality of opportunity and poverty in India. Using data from national surveys and unique sources like night-time satellite images and location data of points of interest, it explores different aspects of inequality and poverty. The book adopts a unique interdisciplinary approach, blending theories and methods from sociology, economics, geography, anthropology, and computer science to explore three key aspects of human well-being: income, health, and education, focusing on regional disparities. It aims to offer practical insights for policymakers and researchers who want to address social and economic inequalities in India.
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