Machine Learning and Big Data Analytics Paradigms Analysis Applications and Challenges Book [PDF] Download

Download the fantastic book titled Machine Learning and Big Data Analytics Paradigms Analysis Applications and Challenges written by Aboul Ella Hassanien, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Machine Learning and Big Data Analytics Paradigms Analysis Applications and Challenges", which was released on 14 December 2020. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Computers genre.

Summary of Machine Learning and Big Data Analytics Paradigms Analysis Applications and Challenges by Aboul Ella Hassanien PDF

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.


Detail About Machine Learning and Big Data Analytics Paradigms Analysis Applications and Challenges PDF

  • Author : Aboul Ella Hassanien
  • Publisher : Springer Nature
  • Genre : Computers
  • Total Pages : 648 pages
  • ISBN : 303059338X
  • PDF File Size : 46,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

Clicking on the GET BOOK button will initiate the downloading process of Machine Learning and Big Data Analytics Paradigms Analysis Applications and Challenges by Aboul Ella Hassanien. This book is available in ePub and PDF format with a single click unlimited downloads.

GET BOOK

Big Data, Data Mining, and Machine Learning

Big Data, Data Mining, and Machine Learning
  • Publisher : John Wiley & Sons
  • File Size : 44,6 Mb
  • Release Date : 07 May 2014
GET BOOK

With big data analytics comes big insights into profitability Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce

Deep Learning: Convergence to Big Data Analytics

Deep Learning: Convergence to Big Data Analytics
  • Publisher : Springer
  • File Size : 30,7 Mb
  • Release Date : 30 December 2018
GET BOOK

This book presents deep learning techniques, concepts, and algorithms to classify and analyze big data. Further, it offers an introductory level understanding of the new programming languages and tools used

Deep Learning in Data Analytics

Deep Learning in Data Analytics
  • Publisher : Springer Nature
  • File Size : 30,8 Mb
  • Release Date : 11 August 2021
GET BOOK

This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications. The book discusses significant issues relating to deep learning

Machine Learning for Big Data Analysis

Machine Learning for Big Data Analysis
  • Publisher : Walter de Gruyter GmbH & Co KG
  • File Size : 29,9 Mb
  • Release Date : 17 December 2018
GET BOOK

This volume comprises six well-versed contributed chapters devoted to report the latest fi ndings on the applications of machine learning for big data analytics. Big data is a term for