Computing for Data Analysis: Theory and Practices
Author | : Sanjay Chakraborty |
Publisher | : Springer Nature |
Total Pages | : 230 |
Release | : 2023-02-04 |
ISBN-13 | : 9789811980046 |
ISBN-10 | : 9811980047 |
Rating | : 4/5 (47 Downloads) |
Download or read book Computing for Data Analysis: Theory and Practices written by Sanjay Chakraborty and published by Springer Nature. This book was released on 2023-02-04 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.