Predicting Inequality Of Opportunity And Poverty In India Using Machine Learning
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Predicting Inequality of Opportunity and Poverty in India Using Machine Learning
Author: Balwant Singh Mehta
language: en
Publisher: Springer Nature
Release Date: 2025-05-24
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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