Advances in Machine Learning and Big Data Analytics I : ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30
Language: English
Published by Springer, 2025
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
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Druck auf Anfrage Neuware - Printed after ordering - 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 bookfor researchers and professionals to share their research and reports ofnew technologies and applications in Machine Learning and Big DataAnalytics like biometric Recognition Systems, medical diagnosis, industries,telecommunications, AI Petri Nets Model-Based Diagnosis, gaming, stocktrading, Intelligent Aerospace Systems, robot control, law, remote sensingand scientific discovery agents and multiagent systems; and naturallanguage and Web intelligence. The intent of this book is to provideawareness of algorithms used for machine learning and big data in theadvanced Scientific Technologies, provide a correlation of multidisciplinaryareas and become a point of great interest for Data Scientists, systemsarchitects, developers, new researchers and graduate level students. Thisvolume 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.…
Seller Inventory # 9783031513374
- Title
- Advances in Machine Learning and Big Data Analytics I : ICMLBDA 2023, NIT Arunachal Pradesh, India, May 29-30
- Author
- Preetisudha Meher
- Publisher
- Springer
- Publication year
- 2025
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 3031513371
- ISBN 13
- 9783031513374
- Item weight
- 1,295 grams
- Dimensions
- 241x160x47 mm
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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