Applications of Machine Learning in Big-Data Analytics and Cloud Computing

Cloud Computing and Big Data technologies have become the new descriptors of the digital age. The global amount of digital data has increased more than nine times in volume in just five years and by 2030 its volume may reach a staggering 65 trillion gigabytes. This explosion of data has led to oppor...

Full description

Saved in:
Bibliographic Details
Main Author: Pani, Subhendu Kumar
Format: eBook
Language:English
Published: United Kingdom River Publishers 2021
Routledge
Edition:1
Series:River Publishers Series in Information Science and Technology
Subjects:
Big data
Cloud computing
COMPUTERSCIENCEnetBASE
Data Preparation & Mining
Data processing Computer science
General Engineering & Project Administration
General References
INFORMATIONSCIENCEnetBASE
Machine learning
SCI-TECHnetBASE
Software Engineering
STMnetBASE
Cloud Services
Bias
Random Forests
SVM
Biclustering Algorithms
Machine Learning
Hybrid Data Transmission
Random Forest
Bin Packing
Competitive Ratio
Cloud Computing
Gradient Boosting
Ham Messages
Network Lifetime
Machine Learning Algorithms
WMSN
Spam Mails
SDN
Cloud Service Providers
IoT Device
Smart Grid
Blockchain Technology
Literature Survey
Edge Computing
Big Data
Apache Hadoop
Mapping Confusion Matrix
Leach Protocol
COVID 19
MERS
Spam Messages
Bin Packing Problem
VU
ISBN:9781000793550, 1000793559, 9788770221825, 8770221820
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Cloud Computing and Big Data technologies have become the new descriptors of the digital age. The global amount of digital data has increased more than nine times in volume in just five years and by 2030 its volume may reach a staggering 65 trillion gigabytes. This explosion of data has led to opportunities and transformation in various areas such as healthcare, enterprises, industrial manufacturing and transportation. New Cloud Computing and Big Data tools endow researchers and analysts with novel techniques and opportunities to collect, manage and analyze the vast quantities of data. In Cloud and Big Data Analytics, the two areas of Swarm Intelligence and Deep Learning are a developing type of Machine Learning techniques that show enormous potential for solving complex business problems. Deep Learning enables computers to analyze large quantities of unstructured and binary data and to deduce relationships without requiring specific models or programming instructions. This book introduces the state-of-the-art trends and advances in the use of Machine Learning in Cloud and Big Data Analytics. The book will serve as a reference for Data Scientists, systems architects, developers, new researchers and graduate level students in Computer and Data science. The book will describe the concepts necessary to understand current Machine Learning issues, challenges and possible solutions as well as upcoming trends in Big Data Analytics.
ISBN:9781000793550
1000793559
9788770221825
8770221820
DOI:10.1201/9781003337218