Computing for Data Analysis: Theory and Practices


Computing for Data Analysis: Theory and Practices (Data-Intensive Research) 1st ed. 2023 Edition
by Sanjay Chakraborty(Author), Lopamudra Dey(Author)
Publisher Finelybook 出版社: ; 1st ed. 2023 edition (February 5, 2023)
Language 语言: English
pages 页数: 240 pages
ISBN-10 书号: 9811980039
ISBN-13 书号: 9789811980039


Book Description
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.

打赏
未经允许不得转载:finelybook » Computing for Data Analysis: Theory and Practices

相关推荐

  • 暂无文章

觉得文章有用就打赏一下

您的打赏,我们将继续给力更多优质内容

支付宝扫一扫打赏

微信扫一扫打赏