Patel / Kesswani / Mishra / Meher

Advances in Machine Learning and Big Data Analytics I

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

Springer

ISBN 978-3-031-51337-4

Standardpreis


235,39 €

lieferbar ca. 10 Tage als Sonderdruck ohne Rückgaberecht

Preisangaben inkl. MwSt. Abhängig von der Lieferadresse kann die MwSt. an der Kasse variieren. Weitere Informationen

auch verfügbar als eBook (PDF) für 223,63 €

Bibliografische Daten

Fachbuch

Buch. Hardcover

2025

In englischer Sprache

Umfang: xx, 741 S.

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

Verlag: Springer

ISBN: 978-3-031-51337-4

Produktbeschreibung

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2023, that was held on May 29-30, 2023 by NERIST and NIT Arunachal Pradesh India) is intended to be used as a reference book for researchers and professionals to share their research and reports of new technologies and applications in Machine Learning and Big Data Analytics like biometric Recognition Systems, medical diagnosis, industries, telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stock trading, Intelligent Aerospace Systems, robot control, law, remote sensing and scientific discovery agents and multiagent systems; and natural language and Web intelligence. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the advanced Scientific Technologies, provide a correlation of multidisciplinary areas and become a point of great interest for Data Scientists, systems architects, developers, new researchers and graduate level students. This volume provides cutting-edge research from around the globe on this field. Current status, trends, future directions, opportunities, etc. are discussed, making it friendly for beginners and young researchers.

Autorinnen und Autoren

Kundeninformationen

Provides researchers with tools to analyze and solve incomplete data Addresses potential aspects of machine learning techniques in simulations of applications Shows the powerful algorithms, concepts and principles of ML and BDA to a wide spectrum of research cases

Produktsicherheit

Hersteller

Springer Nature Customer Service Center GmbH

ProductSafety@springernature.com

Topseller & Empfehlungen für Sie

Ihre zuletzt angesehenen Produkte

Rezensionen

Dieses Set enthält folgende Produkte:
    Auch in folgendem Set erhältlich:

    • nach oben

      Ihre Daten werden geladen ...