Patel / Kesswani / Sambana

Advances in Machine Learning and Big Data Analytics II

ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30

Springer

ISBN 978-3-031-51341-1

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213,99 €

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Bibliografische Daten

Fachbuch

Buch. Hardcover

2025

32 s/w-Abbildungen, 184 Farbabbildungen.

In englischer Sprache

Umfang: xvii, 377 S.

Format (B x L): 15,5 x 23,5 cm

Verlag: Springer

ISBN: 978-3-031-51341-1

Weiterführende bibliografische Daten

Produktbeschreibung

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.

Autorinnen und Autoren

Kundeninformationen

Narrates the development of high-precision algorithms that makes more efficient technologies for healthcare Provides the advanced and conceptual reference materials that help in building and promoting ML and Big Data Provides future directions of R&D and real-world case studies for computer scientists, biomedical engineers

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