Computing for Data Analysis: Theory and Practices Computing for Data Analysis: Theory and Practices
Data-Intensive Research

Computing for Data Analysis: Theory and Practices

    • USD 139.99
    • USD 139.99

Descripción editorial

This book covers various cutting-edge computing technologies and their applications over data. It discusses in-depth knowledge on big data and cloud computing, quantum computing, cognitive computing, and computational biology with respect to different kinds of data analysis and applications. In this book, authors describe some interesting models in the cloud, quantum, cognitive, and computational biology domains that provide some useful impact on intelligent data (emotional, image, etc.) analysis. They also explain how these computing technologies based data analysis approaches used for various real-life applications. The book will be beneficial for readers working in this area.

GÉNERO
Informática e Internet
PUBLICADO
2023
4 de febrero
IDIOMA
EN
Inglés
EXTENSIÓN
240
Páginas
EDITORIAL
Springer Nature Singapore
VENDEDOR
Springer Nature B.V.
TAMAÑO
23.2
MB
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