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Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science - Synthesis Lectures on Human Language Technologies Stefan Riezler Second Edition 2024 edition
Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science - Synthesis Lectures on Human Language Technologies
Stefan Riezler
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).
168 pages, 61 Illustrations, color; 9 Illustrations, black and white; XVII, 168 p. 70 illus., 61 ill
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | June 10, 2024 |
| ISBN13 | 9783031570643 |
| Publishers | Springer International Publishing AG |
| Pages | 168 |
| Dimensions | 150 × 220 × 20 mm · 612 g |
| Language | English |