Data Science : : Time Complexity, Inferential Uncertainty, and Spacekime Analytics / / Ivo D. Dinov, Milen Velchev Velev.
The amount of new information is constantly increasing, faster than our ability to fully interpret and utilize it to improve human experiences. Addressing this asymmetry requires novel and revolutionary scientific methods and effective human and artificial intelligence interfaces. By lifting the con...
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| Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1 |
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| VerfasserIn: | |
| Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2021] ©2022 |
| Year of Publication: | 2021 |
| Language: | English |
| Series: | De Gruyter STEM
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| Online Access: | |
| Physical Description: | 1 online resource (XXVI, 463 p.) |
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Table of Contents:
- Frontmatter
- Preface
- Foreword
- Contents
- Use and Disclaimer
- Glossary, Common Notations, and Abbreviations
- Chapter 1 Motivation
- Chapter 2 Mathematics and Physics Foundations
- Chapter 3 Time Complexity
- Chapter 4 Kime-series Modeling and Spacekime Analytics
- Chapter 5 Inferential Uncertainty
- Chapter 6 Applications
- 7 Summary
- References
- Index