Data Science and SDGs - Challenges, Opportunities and Realities (Hardcover, 1st ed. 2021)

The book presents contributions on statistical models and methods applied, for both data science and SDGs, in one place. Measuring and controlling data of SDGs, data driven measurement of progress needs to be distributed to stakeholders. In this situation, the techniques used in data science, specially, in the big data analytics, play an important role rather than the traditional data gathering and manipulation techniques. This book fills this space through its twenty contributions. The contributions have been selected from those presented during the 7th International Conference on Data Science and Sustainable Development Goals organized by the Department of Statistics, University of Rajshahi, Bangladesh; and cover topics mainly on SDGs, bioinformatics, public health, medical informatics, environmental statistics, data science and machine learning. The contents of the volume would be useful to policymakers, researchers, government entities, civil society, and nonprofit organizations for monitoring and accelerating the progress of SDGs.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	August 2021
First published:	2021
Editors:	Bikas Kumar Sinha • Md. Nurul Haque Mollah
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	197
Edition:	1st ed. 2021
ISBN-13:	978-981-16-1918-2
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > Computer programming > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Books > Computing & IT > Applications of computing > Databases > General
LSN:	981-16-1918-2
Barcode:	9789811619182

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