Applied machine learning explainability techniques: make ML models explainable and trustworthy for practical applications Using LIME, SHAP, and more
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham ; Mumbai
Packt Publishing, Limited
2022
|
| Ausgabe: | First published |
| Schlagworte: | |
| Online-Zugang: | FHA01 FHR01 FLA01 UBY01 Volltext |
| Beschreibung: | Print version record |
| Beschreibung: | 1 online resource (xvii, 284 Seiten) Illustrationen, Diagramme |
| ISBN: | 9781803234168 1803234164 |
Internformat
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| 250 | |a First published | ||
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Datensatz im Suchindex
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| author | Bhattacharya, Aditya |
| author_facet | Bhattacharya, Aditya |
| author_role | aut |
| author_sort | Bhattacharya, Aditya |
| author_variant | a b ab |
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| bvnumber | BV048592945 |
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| dewey-full | 006.3/1 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3/1 |
| dewey-search | 006.3/1 |
| dewey-sort | 16.3 11 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| edition | First published |
| format | Electronic eBook |
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| id | DE-604.BV048592945 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:07:59Z |
| indexdate | 2024-07-10T09:42:25Z |
| institution | BVB |
| isbn | 9781803234168 1803234164 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033968615 |
| oclc_num | 1354309358 |
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| owner_facet | DE-860 DE-706 DE-Aug4 DE-11 DE-898 DE-BY-UBR |
| physical | 1 online resource (xvii, 284 Seiten) Illustrationen, Diagramme |
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| publishDate | 2022 |
| publishDateSearch | 2022 |
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| publisher | Packt Publishing, Limited |
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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 1 online resource (xvii, 284 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Print version record 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 Druck-Ausgabe 978-1-80324-615-4 https://portal.igpublish.com/iglibrary/search/PACKT0006333.html Aggregator URL des Erstveröffentlichers Volltext |
| 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 |
| url | https://portal.igpublish.com/iglibrary/search/PACKT0006333.html |
| work_keys_str_mv | AT bhattacharyaaditya appliedmachinelearningexplainabilitytechniquesmakemlmodelsexplainableandtrustworthyforpracticalapplicationsusinglimeshapandmore |