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

Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
Author :
Publisher : Springer Nature
Total Pages : 640
Release :
ISBN-10 : 9783030593384
ISBN-13 : 303059338X
Rating : 4/5 (84 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 640 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.


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

Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
Language: en
Pages: 640
Authors: Aboul Ella Hassanien
Categories: Computers
Type: BOOK - Published: 2020-12-14 - Publisher: Springer Nature

DOWNLOAD EBOOK

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 includin
Machine Learning Models and Algorithms for Big Data Classification
Language: en
Pages: 364
Authors: Shan Suthaharan
Categories: Business & Economics
Type: BOOK - Published: 2015-10-20 - Publisher: Springer

DOWNLOAD EBOOK

This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tr
Deep Learning: Convergence to Big Data Analytics
Language: en
Pages: 93
Authors: Murad Khan
Categories: Computers
Type: BOOK - Published: 2018-12-30 - Publisher: Springer

DOWNLOAD EBOOK

This book presents deep learning techniques, concepts, and algorithms to classify and analyze big data. Further, it offers an introductory level understanding o
Big Data, Machine Learning, and Applications
Language: en
Pages: 113
Authors: Ripon Patgiri
Categories: Computers
Type: BOOK - Published: 2020-11-27 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book constitutes refereed proceedings of the First International First International Conference on Big Data, Machine Learning, and Applications, BigDML 201
Data Intensive Computing Applications for Big Data
Language: en
Pages: 618
Authors: M. Mittal
Categories: Computers
Type: BOOK - Published: 2018-01-31 - Publisher: IOS Press

DOWNLOAD EBOOK

The book ‘Data Intensive Computing Applications for Big Data’ discusses the technical concepts of big data, data intensive computing through machine learnin