Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making
Overview & Synopsis
Data science is not simply a subfield of statistics or computer science. Instead, it is the integration of statistical and computational thinking into real-world domain problems in science, technology, and beyond.
Indexed from repository: FreeComputerBooks.com
(
freecomputerbooks.com)
Keyboard Shortcuts:
← / → for pages • + / - for zoom • 0 to fit width
Powered by Mozilla PDF.js v3.11
Document Information
| Document Title | Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making |
|---|---|
| Author / Organization | Bin Yu, Rebecca L. Barter |
| Subject & Discipline | Data Science and Data Engineering, Data Analysis and Data Mining, Big Data, The R Programming Language, Statistics, Mathematical Statistics, and SAS Programming |
| Categories | Data Science and Data Engineering |
| Publication Year | 2024 |
| ISBN | 978-0262049191 |
| License / Rights | CC BY-NC-SA 4.0 |
| Resource Verification | ✓ Verified Direct PDF Available |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Reported File Size | 53839.7 KB (55,131,868 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-25775 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
Commercial / Print Edition
Prefer a Physical Book or Kindle Edition?
Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making • Print Edition
As an Amazon Associate, MainReads earns from qualifying purchases.