Cover Image

Validity, reliability, and significance: empirical methods for NLP and data science

Show other versions (3)

This book introduces empirical methods for machine learning with a special focus on applications in natural language processing (NLP) and data science. The authors present problems of validity, reliability, and significance and provide common solutions based on statistical methodology to solve them....

Full description

Saved in:
Bibliographic Details
Main Authors: Riezler, Stefan (Author) , Hagmann, Michael (Author)
Format: Book/Monograph
Language:English
Published: Cham Springer [2024]
Edition:Second edition
Series:Synthesis Lectures on Human Language Technologies
Online Access:Verlag, Cover: https://www.dietmardreier.de/annot/564C42696D677C7C393738333033313537303634337C7C434F50.jpg?sq=2
Get full text
Author Notes:Stefan Riezler, Michael Hagmann
Search Result 1
Cover Image

Validity, reliability, and significance: empirical methods for NLP and data science by Riezler, Stefan (Author) , Hagmann, Michael (Author) ,

Springer Nature Switzerland 2024 Imprint: Springer 2024

Get full text
Book/Monograph Online Resource

Saved in:
Search Result 2
Cover Image

Validity, reliability, and significance: empirical methods for NLP and data science by Riezler, Stefan (Author) , Hagmann, Michael (Author) ,


Get full text
Book/Monograph

Saved in:
Search Result 3
Cover Image

Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science by Riezler, Stefan (Author)


Get full text
Book/Monograph Online Resource

Saved in:
Show all versions (4)

Similar Items