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...
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| Hlavní autoři: | , , |
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| Médium: | Online |
| Jazyk: | angličtina |
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Springer Nature
2025
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| On-line přístup: | ONIX_20250513_9789819625444_25 |
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| _version_ | 1869527401779691520 |
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| author | Mehta, Balwant Singh Srivastava, Ravi Dhote, Siddharth |
| author_browse | Dhote, Siddharth Mehta, Balwant Singh Srivastava, Ravi |
| author_facet | Mehta, Balwant Singh Srivastava, Ravi Dhote, Siddharth |
| author_sort | Mehta, Balwant Singh |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-159433 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Springer Nature |
| publisherStr | Springer Nature |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1594332025-05-14T04:09:59Z Predicting Inequality of Opportunity and Poverty in India Using Machine Learning Mehta, Balwant Singh Srivastava, Ravi Dhote, Siddharth Inequality of Opportunity in India Poverty Analysis Machine Learning Techniques Socio-Economic Disparities Regional Inequality Human Well-Being Income Disparity Health Equity Educational Inequality Data-Driven Research Sustainable Development Geo-Spatial Data 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. 2025-05-14T04:09:59Z 2025-05-14T04:09:59Z 2025-05-13T08:25:02Z 2025 book ONIX_20250513_9789819625444_25 https://library.oapen.org/handle/20.500.12657/101677 9789819625444 9789819625437 https://directory.doabooks.org/handle/20.500.12854/159433 eng India Studies in Business and Economics open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/101677/1/9789819625444.pdf Springer Nature Springer Nature Singapore 10.1007/978-981-96-2544-4 10.1007/978-981-96-2544-4 9fa3421d-f917-4153-b9ab-fc337c396b5a 58e3e7cb-ba1a-492b-87b4-9edcf3d0df30 9789819625444 9789819625437 Springer Nature Singapore 169 Singapore [...] open access |
| spellingShingle | Inequality of Opportunity in India Poverty Analysis Machine Learning Techniques Socio-Economic Disparities Regional Inequality Human Well-Being Income Disparity Health Equity Educational Inequality Data-Driven Research Sustainable Development Geo-Spatial Data Mehta, Balwant Singh Srivastava, Ravi Dhote, Siddharth Predicting Inequality of Opportunity and Poverty in India Using Machine Learning |
| title | Predicting Inequality of Opportunity and Poverty in India Using Machine Learning |
| title_full | Predicting Inequality of Opportunity and Poverty in India Using Machine Learning |
| title_fullStr | Predicting Inequality of Opportunity and Poverty in India Using Machine Learning |
| title_full_unstemmed | Predicting Inequality of Opportunity and Poverty in India Using Machine Learning |
| title_short | Predicting Inequality of Opportunity and Poverty in India Using Machine Learning |
| title_sort | predicting inequality of opportunity and poverty in india using machine learning |
| topic | Inequality of Opportunity in India Poverty Analysis Machine Learning Techniques Socio-Economic Disparities Regional Inequality Human Well-Being Income Disparity Health Equity Educational Inequality Data-Driven Research Sustainable Development Geo-Spatial Data |
| topic_facet | Inequality of Opportunity in India Poverty Analysis Machine Learning Techniques Socio-Economic Disparities Regional Inequality Human Well-Being Income Disparity Health Equity Educational Inequality Data-Driven Research Sustainable Development Geo-Spatial Data |
| url | ONIX_20250513_9789819625444_25 |
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