Data Science for Sustainable Development Goals : Indian Case Studies
This book presents real-life applications of data science, artificial intelligence, and big data for the Sustainable Development Goals. It includes a list of case studies from different states across India. The case studies in the book use both structured and unstructured data like numeric data, tex...
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| Formato: | Libro |
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Chapman and Hall/CRC
2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=4498519&site=ehost-live header: @attributes: shortDbName: nlebk uiTerm: 4498519 longDbName: eBook Collection (EBSCOhost) uiTag: AN controlInfo: bkinfo: btl: Data Science for Sustainable Development Goals : Indian Case Studies aug: au: Avik Sarkar Bappaditya Mukhopadhyay isbn: 9781032781310 9781003487531 9781040509708 9781040639559 imageinfo: pubinfo: dt: @attributes: year: 2026 month: 01 day: 01 pub: Chapman and Hall/CRC pubContract: CRC Press (Unlimited) place: [N.p.] price: 0.01 limitsGroup: maxCheckoutDays: 1500 copyPages: -1 pda: N printPagesOffline: 60 printPagesOnline: 60 previewPages: 10000 prePubGroup: lc: @attributes: class: HC79.E5 D375 2026 item: HC 79 .E5 D375 2026 artinfo: ui: 4498519 1559771104 formats: fmt: – @attributes: type: EB doid: NL$4498519$PDF caption: PDF download: Y – @attributes: type: EK doid: NL$4498519$EPUB caption: EPUB download: Y tig: atl: Data Science for Sustainable Development Goals : Indian Case Studies ptl: Data Science for Sustainable Development Goals aug: au: Avik Sarkar Bappaditya Mukhopadhyay su: Sustainable development--Technological innovatio Sustainable development--Data processing sug: subj: COMPUTERS / Data Science / Data Analytics POLITICAL SCIENCE / Public Policy / Science & Technology Policy COMPUTERS / Data Science / Machine Learning Sustainable development--Technological innovatio Sustainable development--Data processing ab: This book presents real-life applications of data science, artificial intelligence, and big data for the Sustainable Development Goals. It includes a list of case studies from different states across India. The case studies in the book use both structured and unstructured data like numeric data, textual data, and video/image data across the various chapters for analysis. It explores various aspects of data science starting from on ground data collection to dashboard based reporting, unsupervised methods like clustering for grouping data points, use of artificial intelligence, machine learning and deep learning, search or information retrieval, time series forecasting, and optimization. It showcases data science decision-making processes, driving innovation, and solving complex problems in real-life scenarios across sectors like governance, education, healthcare agriculture and sanitation The SDGs provide a framework for societal development and well-being for all; the data science and big data interventions in this book are aligned towards mapping the various SDGs Most of the data science use cases and initiative projects covered in this book have been implemented by central or state governments across different states of India Shows how data science intervention can transform the social sector, potentially driving positive change and addressing critical societal challenges Explained the fundamentals of data science theories with case studies, including concepts like classification, regression, predictive analytics, optimization, artificial intelligence, deep learning, and time series forecasting for readers of different disciplines It serves as a valuable reference for graduate students, researchers, and scholars seeking to deepen their knowledge and engage with real life applications of data science. It will also serve as a valuable resource for government officers and policy practitioners, providing a range of cases on the use of data-based methods for improving governance and policy making.The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license funded by the Great Lakes Institute of Management, Gurgaon Campus, Delhi NCR, India. pubtype: eBook doctype: Book ougenre: Book language: English copyright: @attributes: flag: N copyrightText: holdings: @attributes: islocal: N |
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