Computing for Data Analysis: Theory and Practices - Lopamudra Dey,Sanjay Chakraborty
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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 do ... Pilns apraksts
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Aprašymas
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.
Vairāk informācijas
| Autors | Lopamudra Dey, Sanjay Chakraborty |
|---|---|
| Izdevējs | Springer Nature Singapore |
| Series | Data-Intensive Research |
| Izlaides gads | 2024 |
| Vāka tips | Mīkstais vāks |
| EAN | 9789811980060 |