Statistical Foundations of Machine Learning: The Handbook
Overview & Synopsis
We are in the era of big data. There are essentially two reasons why people gather increasing volumes of data: first, they think some valuable assets are implicitly coded within them, and second computer technology enables effective data storage at reduced costs.
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 | Statistical Foundations of Machine Learning: The Handbook |
|---|---|
| Author / Organization | Gianluca Bontempi |
| Subject & Discipline | Statistics, Mathematical Statistics, and SAS Programming, Machine Learning, Big Data, Data Analysis and Data Mining, The R Programming Language |
| Categories | Statistics, Mathematical Statistics, and SAS Programming |
| Publication Year | 2025 |
| Resource Verification | ✓ Verified Direct PDF Available |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Reported File Size | 22343.2 KB (22,879,477 bytes) |
| Language | ENGLISH |
| Catalog ID | DOC-261583 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |