Machine Learning for Sustainable Development
| Author | : Kamal Kant Hiran |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 214 |
| Release | : 2021-07-19 |
| ISBN-10 | : 9783110702514 |
| ISBN-13 | : 3110702517 |
| Rating | : 4/5 (14 Downloads) |
Book Synopsis Machine Learning for Sustainable Development by : Kamal Kant Hiran
Download or read book Machine Learning for Sustainable Development written by Kamal Kant Hiran and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-07-19 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
