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.
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.

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

Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
eBook(1st ed. 2021)
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Product Details
ISBN-13: | 9783030593384 |
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Publisher: | Springer-Verlag New York, LLC |
Publication date: | 12/14/2020 |
Series: | Studies in Big Data , #77 |
Sold by: | Barnes & Noble |
Format: | eBook |
File size: | 116 MB |
Note: | This product may take a few minutes to download. |