Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021) (eBook)

Rajiv Misra, Rudrapatna K. Shyamasundar, Amrita Chaturvedi, Rana Omer (Herausgeber)

eBook Download: PDF

2021 | 1st ed. 2022
362 Seiten
Springer International Publishing (Verlag)
978-3-030-82469-3 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 29.9.2021
• Reihe/Serie: Lecture Notes in Networks and Systems
• Reihe/Serie: Lecture Notes in Networks and Systems
• Zusatzinfo: XI, 362 p. 226 illus., 147 illus. in color.
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik ► Bauwesen
• Schlagworte: Big Data • Big Data Analytics • ICMLBDA • ICMLBDA 2021 • Intelligent Systems • machine learning
• ISBN-10: 3-030-82469-1 / 3030824691
• ISBN-13: 978-3-030-82469-3 / 9783030824693