This book constitutes refereed proceedings of the Second International Conference on Big Data, Machine Learning, and Applications, BigDML 2021. The volume focuses on topics such as computing methodology; machine learning; artificial intelligence; information systems; security and privacy. This volume will benefit research scholars, academicians, and industrial people who work on data storage and machine learning.
| ISBN: | 9789819934805 |
| Publication date: | 30th November 2023 |
| Author: | Machine Learning, and Applications International Conference on Big Data |
| Publisher: | Springer an imprint of Springer Nature Singapore |
| Format: | Hardback |
| Pagination: | 748 pages |
| Series: | Lecture Notes in Electrical Engineering |
| Genres: |
Computer hardware Expert systems / knowledge-based systems Network hardware Systems analysis and design Artificial intelligence |
This book constitutes refereed proceedings of the Second International Conference on Big Data, Machine Learning, and Applications, BigDML 2021. The volume focuses on topics such as computing methodology; machine learning; artificial intelligence; information systems; security and privacy. This volume will benefit research scholars, academicians, and industrial people who work on data storage and machine learning.
Big Data, Machine Learning, and Applications features in the following genres: Computer hardware, Expert systems / knowledge-based systems, Network hardware, Systems analysis and design, Artificial intelligence
Big Data, Machine Learning, and Applications is available in Paperback, Hardback
Big Data, Machine Learning, and Applications was written by Machine Learning, and Applications International Conference on Big Data and published by Springer an imprint of Springer Nature Singapore
Big Data, Machine Learning, and Applications has 748 pages
Yes it is part of Lecture Notes in Electrical Engineering series
£179.99