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Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science - Synthesis Lectures on Human Language Technologies Stefan Riezler
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Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science - Synthesis Lectures on Human Language Technologies
Stefan Riezler
Our focus is 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).
147 pages, XVII, 147 p.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2021. gada 3. decembris |
| ISBN13 | 9783031010552 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 147 |
| Izmēri | 150 × 220 × 10 mm · 299 g |
| Valoda | Angļu |