Machine Learning for Sustainable Development
Kamal Kant Hiran · Deepak Khazanchi · Ajay Kumar Vyas · Sanjeevikumar Padmanaban
Jul 2021 · De Gruyter Frontiers in Computational Intelligence Ibhuku elingu-9 · Walter de Gruyter GmbH & Co KG
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214
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reportIzilinganiso nezibuyekezo aziqinisekisiwe Funda Kabanzi
Mayelana nale ebook
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.
Mayelana nomlobi
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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