Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science
(Bog, Hardback, Engelsk)
- Type: Bog
- Format: Hardback
-
Sprog:
Engelsk
- ISBN-13: 9783031570643
- Se flere detaljer ▼
Bemærk: Kan ikke leveres før jul.
Beskrivelse
The book focuses on model-based empirical methods where data annotations and model predictions are treated as training data for interpretable probabilistic models from the well-understood families of generalized additive models (GAMs) and linear mixed effects models (LMEMs).
Læsernes anmeldelser (0)
Alle detaljer
| Forlag | Springer International Publishing AG |
| Forfattere | Stefan Riezler, Michael Hagmann |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgave | Second Edition 2024 |
| Udgivelsesdato | 10-06-2024 |
| Første udgivelsesår | 2024 |
| Serie | Synthesis Lectures on Human Language Technologies |
| Illustrationer | 61 Illustrations, color; 9 Illustrations, black and white; XVII, 168 p. 70 illus., 61 illus. in color. |
| Originalsprog | Switzerland |
| Sideantal | 168 |
| Indbinding | Hardback |
| Forlag | Springer International Publishing AG |
| Sideoplysninger | 168 pages, 61 Illustrations, color; 9 Illustrations, black and white; XVII, 168 p. 70 illus., 61 ill |
| Mål | 240 x 168 |
| ISBN-13 / EAN-13 | 9783031570643 |