Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science
Cover -- Copyright -- Title Page -- Contents -- Preface -- Acknowledgments -- Introduction -- Empirical Methods in Machine Learning -- Scope and Outline of this Book -- Intended Readership -- Validity -- Validity Problems in NLP and Data Science -- Bias Features -- Illegitimate Features -- Circular...
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| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Book/Monograph |
| Language: | English |
| Published: |
San Rafael
Morgan & Claypool Publishers
[2022]
|
| Series: | Synthesis lectures on human language technologies
#55 |
| In: |
Synthesis lectures on human language technologies (#55)
|
| Online Access: | Aggregator, lizenzpflichtig: https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=6823453 |
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Validity, reliability, and significance: empirical methods for NLP and data science
Springer Nature Switzerland 2024 Imprint: Springer 2024
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Validity, reliability, and significance: empirical methods for NLP and data science
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