Name: Advances in Machine Learning and Big Data Analytics I: Icmlbda 2023, Nit Arunachal Pradesh, India, May 29-30 (en Inglés)
SKU: 57735144
Price: 3616.30 MXN
Availability: InStock
Author: Patel, Ashokkumar ; Kesswani, Nishtha ; Mishra, Madhusudhan
ISBN: 9783031513374

portada Advances in Machine Learning and Big Data Analytics I: Icmlbda 2023, Nit Arunachal Pradesh, India, May 29-30 (en Inglés)

Advances in Machine Learning and Big Data Analytics I: Icmlbda 2023, Nit Arunachal Pradesh, India, May 29-30 (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Patel, Ashokkumar ; Kesswani, Nishtha ; Mishra, Madhusudhan

Idioma

Inglés

N° páginas

606

Encuadernación

Tapa Dura

ISBN13

9783031513374

Categorías

Probabilidad y estadística
Matemáticas aplicadas
Inteligencia artificial

Advances in Machine Learning and Big Data Analytics I: Icmlbda 2023, Nit Arunachal Pradesh, India, May 29-30 (en Inglés)

Patel, Ashokkumar ; Kesswani, Nishtha ; Mishra, Madhusudhan (Autor) · Springer · Tapa Dura

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Reseña del libro "Advances in Machine Learning and Big Data Analytics I: Icmlbda 2023, Nit Arunachal Pradesh, India, May 29-30 (en Inglés)"

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.