Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021): 256 - Brossura

Brossura

ISBN 10: 3030824683 ISBN 13: 9783030824686

Casa editrice: Springer, 2021

Riassunto

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for researchers and practitioners in the disciplines of computer science, electronics and telecommunication, information science, and electrical engineering. Machine learning and Big data analytics represent a key ingredients in the industrial applications for new products and services. Big data analytics applies machine learning for predictions by examining large and varied data sets—i.e., big data—to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information that can help organizations make more informed business decisions.

Dettagli dell?edizione

• Editore: Springer
• Data di pubblicazione: 2021
• ISBN 10: 3030824683
• ISBN 13: 9783030824686
• Rilegatura: Copertina flessibile
• Lingua: Inglese
• Numero edizione: 1
• Numero di pagine: 376
• Redattore: Misra Rajiv, Shyamasundar Rudrapatna K., Chaturvedi Amrita, Omer Rana
• Contatto del produttore: {language_tag:it_IT,value:"Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com"}