Téléchargez le livre : Machine Learning Approach for Cloud Data Analytics in IoT

Machine Learning Approach for Cloud Data Analytics in IoT



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Éditeur :

Wiley-Scrivener


Paru le : 2021-07-14



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Description
Machine Learning Approach for Cloud Data Analytics in IoT

The book covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications
Sustainable computing paradigms like cloud and fog are capable of handling issues related to performance, storage and processing, maintenance, security, efficiency, integration, cost, energy and latency in an expeditious manner. In order to expedite decision-making involved in the complex computation and processing of collected data, IoT devices are connected to the cloud or fog environment. Since machine learning as a service provides the best support in business intelligence, organizations have been making significant investments in this technology.
Machine Learning Approach for Cloud Data Analytics in IoT elucidates some of the best practices and their respective outcomes in cloud and fog computing environments. It focuses on all the various research issues related to big data storage and analysis, large-scale data processing, knowledge discovery and knowledge management, computational intelligence, data security and privacy, data representation and visualization, and data analytics. The featured technologies presented in the book optimizes various industry processes using business intelligence in engineering and technology. Light is also shed on cloud-based embedded software development practices to integrate complex machines so as to increase productivity and reduce operational costs. The various practices of data science and analytics which are used in all sectors to understand big data and analyze massive data patterns are also detailed in the book.
Pages
528 pages
Collection
n.c
Parution
2021-07-14
Marque
Wiley-Scrivener
EAN papier
9781119785804
EAN PDF
9781119785866
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
528
Taille du fichier
38052 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
223,61 €
EAN EPUB
9781119785859
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
528
Taille du fichier
16742 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
223,61 €

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