Advances in Distributed Computing and Machine Learning

This book presents recent advances in the field of scalable distributed computing including state-of-the-art research in the field of Cloud Computing, the Internet of Things (IoT), and Blockchain in distributed environments along with applications and findings in broad areas including Data Analytics, AI, and Machine Learning to address complex real-world problems. It features selected high-quality research papers from the 2nd International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2021), organized by the Department of Computer Science and Information Technology, Institute of Technical Education and Research(ITER), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India.      

Advances in Distributed Computing and Machine Learning features in the following genres: Artificial intelligence, Machine learning, Applied computing, Electrical engineering, Cybernetics and systems theory

Advances in Distributed Computing and Machine Learning is available in Paperback

Advances in Distributed Computing and Machine Learning was written by Jyoti Prakash Sahoo and published by Springer Verlag, Singapore

Advances in Distributed Computing and Machine Learning has 513 pages

Yes it is part of Lecture Notes in Networks and Systems series

£224.99