An edition of Applied Machine Learning Explainability Techniques (2022)

Applied Machine Learning Explainability Techniques

Make ML Models Explainable and Trustworthy for Practical Applications Using LIME, SHAP, and More

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Applied Machine Learning Explainability Techn ...
Aditya Bhattacharya, Aditya Bh ...
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Last edited by ImportBot
September 18, 2024 | History
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An edition of Applied Machine Learning Explainability Techniques (2022)

Applied Machine Learning Explainability Techniques

Make ML Models Explainable and Trustworthy for Practical Applications Using LIME, SHAP, and More

by

  • 1 Want to read

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Publish Date
Publisher
de Gruyter GmbH, Walter
Language
English
Pages
306

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Edition Availability
Cover of: Applied Machine Learning Explainability Techniques
Applied Machine Learning Explainability Techniques: Make ML Models Explainable and Trustworthy for Practical Applications Using LIME, SHAP, and More
2022, de Gruyter GmbH, Walter
in English
Cover of: Applied Machine Learning Explainability Techniques
Applied Machine Learning Explainability Techniques: Make ML Models Explainable and Trustworthy for Practical Applications Using LIME, SHAP, and More
2022, Packt Publishing, Limited
in English

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Book Details

Classifications

Dewey Decimal Class
006.31

Edition Identifiers

Open Library
OL54057523M
ISBN 13
9781803234168

Work Identifiers

Work ID
OL28350173W

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Better World Books record

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September 18, 2024 Created by ImportBot Imported from Better World Books record