Validity, reliability, and significance: empirical methods for NLP and data science
Empirical methods are means to answering methodological questions of empirical sciences by statistical techniques. The methodological questions addressed in this book include the problems of validity, reliability, and significance. In the case of machine learning, these correspond to the questions o...
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| Main Authors: | , |
|---|---|
| Format: | Book/Monograph |
| Language: | English |
| Published: |
San Rafael, CA
Morgan & Claypool Publishers
[2022]
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| Series: | Synthesis lectures on human language technologies
#55 |
| In: |
Synthesis lectures on human language technologies (#55)
|
| Online Access: |
|
| Author Notes: | Stefan Riezler, Michael Hagmann |
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Validity, reliability, and significance: empirical methods for NLP and data science
Springer Nature Switzerland 2024 Imprint: Springer 2024
Book/Monograph
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Validity, reliability, and significance: empirical methods for NLP and data science
Springer [2024]
Book/Monograph
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