T�tulo: Machine Learning and Big Data Analytics Paradigms : Analysis, Applications and Challenges
Editor: Springer
Fecha de publicaci�n: 2020
Idioma: Ingl�s
ISBN 10: 3030593371
ISBN 13: 9783030593377
Encuadernaci�n: Encuadernaci�n de tapa dura
Estado: As New

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Sinopsis

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.

De la contraportada

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including  artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

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