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

✍ Scribed by Aboul Ella Hassanien, Ashraf Darwish

Publisher: Springer
Year: 2021
Tongue: English
Leaves: 640
Series: Studies in Big Data, 77
Edition: 1st ed. 2021
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

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