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Validity, Reliability, And Significance

Empirical Methods For Nlp And Data Science

by Michael Hagmann e Stefan Riezler
language: english
Publisher: Springer International Publishing AG, June of 2024 ‧
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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).

Validity, Reliability, And Significance

Empirical Methods For Nlp And Data Science

by Michael Hagmann e Stefan Riezler

Property Description
ISBN: 9783031570643
Publisher: Springer International Publishing AG
Release Date: June of 2024
Language: English
Dimensions: 168 x 240 x 20 mm
Cover: Hardcover
Pages: 168
Format: Book
Collection: Synthesis Lectures On Human Language Technologies
Categories: Books in English > Science > Mathematics
Books in English > Others
EAN: 9783031570643

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