Machine learning for sustainable development

Kamal Kant Hiran, Deepak Khazanchi, Ajay Kumar Vyas, Sanjeevikumar Padmanaban

Research output: Book/ReportBook

Abstract

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.

Original languageEnglish (US)
Publisherde Gruyter
Number of pages201
ISBN (Electronic)9783110702514
ISBN (Print)9783110702484
DOIs
StatePublished - Jul 19 2021

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

Fingerprint

Dive into the research topics of 'Machine learning for sustainable development'. Together they form a unique fingerprint.

Cite this