Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges (e-bog) af -
Darwish, Ashraf (redaktør)

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

2190,77 DKK
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 resourc…
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.
E-bog 2190,77 DKK
Forfattere Darwish, Ashraf (redaktør)
Forlag Springer
Udgivet 14.12.2020
Genrer Databases
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9783030593384

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.