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portada Computing for Data Analysis. Theory and Practices
Type
Physical Book
Publisher
Author
Year
2023
Language
English
Pages
242
Format
Paperback
Dimensions
23.40 x 15.60 x 1.20 cm
ISBN13
9789811980053

Computing for Data Analysis. Theory and Practices

Sanjay Chakraborty;Lopamudra Dey (Author) · Springer · Paperback

Computing for Data Analysis. Theory and Practices - Sanjay Chakraborty;Lopamudra Dey

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Synopsis "Computing for Data Analysis. Theory and Practices"

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.

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