Data Science, Data Visualization, and Digital Twins
Author | : Sara Shirowzhan |
Publisher | : BoD – Books on Demand |
Total Pages | : 118 |
Release | : 2022-02-02 |
ISBN-10 | : 9781839629433 |
ISBN-13 | : 1839629436 |
Rating | : 4/5 (436 Downloads) |
Download or read book Data Science, Data Visualization, and Digital Twins written by Sara Shirowzhan and published by BoD – Books on Demand. This book was released on 2022-02-02 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-time, web-based, and interactive visualisations are proven to be outstanding methodologies and tools in numerous fields when knowledge in sophisticated data science and visualisation techniques is available. The rationale for this is because modern data science analytical approaches like machine/deep learning or artificial intelligence, as well as digital twinning, promise to give data insights, enable informed decision-making, and facilitate rich interactions among stakeholders.The benefits of data visualisation, data science, and digital twinning technologies motivate this book, which exhibits and presents numerous developed and advanced data science and visualisation approaches. Chapters cover such topics as deep learning techniques, web and dashboard-based visualisations during the COVID pandemic, 3D modelling of trees for mobile communications, digital twinning in the mining industry, data science libraries, and potential areas of future data science development.