Applied machine learning explainability techniques: make ML models explainable and trustworthy for practical applications Using LIME, SHAP, and more
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Birmingham ; Mumbai
Packt Publishing, Limited
2022
|
| Ausgabe: | First published |
| Schlagworte: | |
| Beschreibung: | XIX, 284 Seiten Illustrationen, Diagramme |
| ISBN: | 9781803246154 |
Internformat
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Datensatz im Suchindex
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| author_facet | Bhattacharya, Aditya |
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| ctrlnum | (OCoLC)1416410373 (DE-599)BVBBV049467158 |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| edition | First published |
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| institution | BVB |
| isbn | 9781803246154 |
| language | English |
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| physical | XIX, 284 Seiten Illustrationen, Diagramme |
| publishDate | 2022 |
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| spelling | Bhattacharya, Aditya Verfasser aut Applied machine learning explainability techniques make ML models explainable and trustworthy for practical applications Using LIME, SHAP, and more Aditya Bhattacharya First published Birmingham ; Mumbai Packt Publishing, Limited 2022 XIX, 284 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Machine learning Electronic books Maschinelles Lernen (DE-588)4193754-5 s DE-604 Erscheint auch als Online-Ausgabe 1-80323-416-4 |
| spellingShingle | Bhattacharya, Aditya Applied machine learning explainability techniques make ML models explainable and trustworthy for practical applications Using LIME, SHAP, and more Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4193754-5 |
| title | Applied machine learning explainability techniques make ML models explainable and trustworthy for practical applications Using LIME, SHAP, and more |
| title_auth | Applied machine learning explainability techniques make ML models explainable and trustworthy for practical applications Using LIME, SHAP, and more |
| title_exact_search | Applied machine learning explainability techniques make ML models explainable and trustworthy for practical applications Using LIME, SHAP, and more |
| title_exact_search_txtP | Applied machine learning explainability techniques make ML models explainable and trustworthy for practical applications Using LIME, SHAP, and more |
| title_full | Applied machine learning explainability techniques make ML models explainable and trustworthy for practical applications Using LIME, SHAP, and more Aditya Bhattacharya |
| title_fullStr | Applied machine learning explainability techniques make ML models explainable and trustworthy for practical applications Using LIME, SHAP, and more Aditya Bhattacharya |
| title_full_unstemmed | Applied machine learning explainability techniques make ML models explainable and trustworthy for practical applications Using LIME, SHAP, and more Aditya Bhattacharya |
| title_short | Applied machine learning explainability techniques |
| title_sort | applied machine learning explainability techniques make ml models explainable and trustworthy for practical applications using lime shap and more |
| title_sub | make ML models explainable and trustworthy for practical applications Using LIME, SHAP, and more |
| topic | Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Maschinelles Lernen |
| work_keys_str_mv | AT bhattacharyaaditya appliedmachinelearningexplainabilitytechniquesmakemlmodelsexplainableandtrustworthyforpracticalapplicationsusinglimeshapandmore |