Computing for Data Analysis: Theory and Practices

Computing for Data Analysis: Theory and Practices

Author
Sanjay Chakraborty, Lopamudra Dey
Publisher
Springer
Language
English
Year
2023
Page
229
ISBN
9811980039,9789811980039
File Type
pdf
File Size
4.1 MiB

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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