Data-Driven Innovation for Intelligent Technology

Perspectives and Applications in ICT

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Éditeur :

Springer


Paru le : 2024-04-16



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Description

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This book focuses on new perspectives and applications of data-driven innovation technologies, applied artificial intelligence, applied machine learning and deep learning, data science, and topics related to transforming data into value.
It includes theory and use cases to help readers understand the basics of data-driven innovation and to highlight the applicability of the technologies. It emphasizes how the data lifecycle is applied in current technologies in different business domains and industries, such as advanced materials, healthcare and medicine, resource optimization, control and automation, among others.
This book is useful for anyone interested in data-driven innovation for smart technologies, as well as those curious in implementing cutting-edge technologies to solve impactful artificial intelligence, data science, and related information technology and communication problems.
Pages
246 pages
Collection
n.c
Parution
2024-04-16
Marque
Springer
EAN papier
9783031542763
EAN PDF
9783031542770

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
8479 Ko
Prix
189,89 €
EAN EPUB
9783031542770

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
24422 Ko
Prix
189,89 €


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