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
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
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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
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