
Machine Learning for Sustainable Development: 9
Author(s): Kant Hiran (Author), Kamal (Author), Khazanchi (Author), Deepak (Author), Kumar Vyas (Author), Ajay (Author), Padmanaban (Author), Sanjeevikumar (Author)
- Publisher: De Gruyter
- Publication Date: 20 July 2021
- Edition: 1st
- Language: English
- Print length: 201 pages
- ISBN-10: 3110702487
- ISBN-13: 9783110702484
Book Description
The book will focus on the applications of machine learning for sustainable development. Machine learning (ML) is an emerging technique whose diffusion and adoption in various sectors (such as energy, agriculture, internet of things, infrastructure) will be of enormous benefit. The state of the art of machine learning models is most useful for forecasting and prediction of various sectors for sustainable development.
Editorial Reviews
About the Author
K.K.Hiran, Sir Padampat Singhania Univ.; D.Khazanki, Univ.of Nebraska; A.K.Vyas, Adani Inst. of Eng.; S.Padmanaban, Aarhus Univ.
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