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[null,"1.","Record Nr.",null,"UNISALENTO991004001769707536"]
[null,null,"Autore",null,"Du Fail, Noel"]
[null,null,"Titolo",null,"Propos rustiques ; suivis des Baliverneries / de Noël du Fail ; avec une introduction, des notes, un glossaire et une bibliographie par Louis Raymond Lefèvre"]
[null,null,"Pubbl/distr/stampa",null,"Paris : Garnier, 1928"]
[null,null,"Descrizione fisica",null,"XXVI, 196 p. ; 19 cm"]
[null,null,"Collana",null,"Collection Selecta des Classiques Garnier"]
[null,null,"Disciplina",null,"843.3"]
[null,null,"Lingua di pubblicazione",null,"Francese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910997189903321"]
[null,null,"Autore",null,"Mehta Balwant Singh"]
[null,null,"Titolo",null,"Predicting Inequality of Opportunity and Poverty in India Using Machine Learning / / by Balwant Singh Mehta, Ravi Srivastava, Siddharth Dhote"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"981-9625-44-0"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XXI, 169 p. 42 illus., 37 illus. in color.)"]
[null,null,"Collana",null,"India Studies in Business and Economics, , 2198-0020"]
[null,null,"Disciplina",null,"338.9"]
[null,null,"Soggetti",null,"Development economics"]
[{"$nulls":4},"Economic policy"]
[{"$nulls":4},"Social policy"]
[{"$nulls":4},"Labor economics"]
[{"$nulls":4},"Development Economics"]
[{"$nulls":4},"Socio-Economic Policy"]
[{"$nulls":4},"Labor Economics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Introduction -- Concept and Measurement of IOp -- Decomposition of Inequality of Opportunity -- Predicting Poverty with Machine Learning and Geospatial Data -- Inequality of Opportunity in Education -- Inequality of Opportunity in Health Care Services -- Conclusion and Way Forward."]
[null,null,null,"Sommario/riassunto","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."]