Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
| Author | : Aboul Ella Hassanien |
| Publisher | : Springer Nature |
| Total Pages | : 648 |
| Release | : 2020-12-14 |
| ISBN-10 | : 9783030593384 |
| ISBN-13 | : 303059338X |
| Rating | : 4/5 (38X Downloads) |
Book Synopsis Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges by : Aboul Ella Hassanien
Download or read book Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2020-12-14 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.