Explore

Predicting Inequality of Opportunity and Poverty in India Using Machine Learning
0 Ungluers have
Faved this Work
Login to Fave
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.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 3 times via unglue.it ebook links.
- 3 - pdf (CC BY) at OAPEN Library.
Keywords
- Data-Driven Research
- Educational Inequality
- Geo-Spatial Data
- health equity
- human well-being
- Income Disparity
- Inequality of Opportunity in India
- machine learning techniques
- poverty analysis
- regional inequality
- socio-economic disparities
- Sustainable development
Links
DOI: 10.1007/978-981-96-2544-4Editions
