Details

Autor(en) / Beteiligte

• Alsharif, Futoon
• Aluvalu, Rajanikanth
• Bandhu, Kailash Chandra
• Bashawyah, Doaa A
• Bhansali, Ashok
• Chhabra Gandhi, Geeta
• Dadhich, Manish
• Dadhich, Shruti
• Doshi, Ruchi
• Guha, Radha
• Guruvare, Shyamala
• Hegde, Roopa B
• Jain, Vipin
• Jayaprakash, Sujith
• Kalla, Mukesh
• Kant Hiran, Kamal[Herausgeber]
• Kathiresan, V
• Keerthi Chennam, Krishna
• Khazanchi, Deepak
• Khazanchi, Deepak[Herausgeber]
• Kudva, Vidya
• Kumar Vyas, Ajay[Herausgeber]
• Lakhwani, Kamlesh
• Maheswari, Uma V
• Mahrishi, Mehul

Titel

Machine Learning for Sustainable Development

Ort / Verlag

Berlin ; Boston : De Gruyter

Erscheinungsjahr

[2021]

Link zu anderen Inhalten

• Cover

Beschreibungen/Notizen

• 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