Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges

Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges

  • Aboul Ella Hassanien
  • Ashraf Darwish
Publisher:Springer NatureISBN 13: 9783030593384ISBN 10: 303059338X

Paperback & Hardcover deals ―

Amazon IndiaGOFlipkart GOSnapdealGOSapnaOnlineGOJain Book AgencyGOBooks WagonGOBook ChorGOCrosswordGODC BooksGO

e-book & Audiobook deals ―

Amazon India GOGoogle Play Books ₹167.2Audible GO

* Price may vary from time to time.

* GO = We're not able to fetch the price (please check manually visiting the website).

Know about the book -

Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges is written by Aboul Ella Hassanien and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 303059338X (ISBN 10) and 9783030593384 (ISBN 13).

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.