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

Libro 297 di 391: Lecture Notes in Networks and Systems
 
9783030824686: Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021): 256
Brossura
ISBN 10: 3030824683 ISBN 13: 9783030824686
Casa editrice: Springer, 2021

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer
Data di pubblicazione
2021
Lingua
Inglese
ISBN 10 
3030824683
ISBN 13 
9783030824686
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
376
Redattore
Misra Rajiv, Shyamasundar Rudrapatna K., Chaturvedi Amrita, Omer Rana
Contatto del produttore
ProductSafety@springernature.com
ProductSafety@springernature.com

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