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Advances in Machine Learning and Big Data Analytics II ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30 /

In the dynamic landscape of technology, machine learning and big data analytics have emerged as transformative forces, reshaping industries and empowering innovation. Machine learning, a subset of artificial intelligence, equips systems to learn and adapt from data, revolutionizing decision-making,...

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Korporativní autor: SpringerLink (Online service)
Další autoři: Patel, Ashokkumar (Editor), Kesswani, Nishtha (Editor), Sambana, Bosubabu (Editor)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Vydání:1st ed. 2025.
Edice:Springer Proceedings in Mathematics & Statistics, 442
Témata:
Computer science > Mathematics.
Machine learning.
Mathematical statistics.
Mathematical Applications in Computer Science.
Machine Learning.
Mathematical Statistics.
On-line přístup:https://doi.org/10.1007/978-3-031-51342-8
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Popis
Shrnutí:In the dynamic landscape of technology, machine learning and big data analytics have emerged as transformative forces, reshaping industries and empowering innovation. Machine learning, a subset of artificial intelligence, equips systems to learn and adapt from data, revolutionizing decision-making, automation, and predictive capabilities. Meanwhile, Big Data Analytics processes and extracts insights from vast and complex datasets, unveiling hidden patterns and trends. Together, these fields enable us to harness the immense power of data for smarter business strategies, improved healthcare, enhanced user experiences, and countless other applications. This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2023, which was held on May 29-30, 2023 by NERIST and NIT Arunachal Pradesh India) introduces an exciting journey into the intersection of machine learning and Big Data Analytics, where data becomes a catalyst for progress and transformation.
Fyzický popis:1 online resource (XVII, 375 p. 216 illus.). 184 illus. in color.
ISBN:9783031513428
ISSN:2194-1017 ;
DOI:10.1007/978-3-031-51342-8

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