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An introduction to machine learning interpretability: an applied perspective on fairness, accountability, transparency, and explainable AI
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
O'Reilly Media
2019
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2704210 |
| _version_ | 1780964679943716864 |
|---|---|
| author | Hall, Patrick Gill, Navdeep |
| author_facet | Hall, Patrick Gill, Navdeep |
| author_sort | Hall, Patrick |
| collection | CERN |
| id | cern-2704210 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2019 |
| publisher | O'Reilly Media |
| record_format | invenio |
| spelling | cern-27042102021-04-21T18:14:27Zhttp://cds.cern.ch/record/2704210engHall, PatrickGill, NavdeepAn introduction to machine learning interpretability: an applied perspective on fairness, accountability, transparency, and explainable AIComputing and ComputersO'Reilly Mediaoai:cds.cern.ch:27042102019 |
| spellingShingle | Computing and Computers Hall, Patrick Gill, Navdeep An introduction to machine learning interpretability: an applied perspective on fairness, accountability, transparency, and explainable AI |
| title | An introduction to machine learning interpretability: an applied perspective on fairness, accountability, transparency, and explainable AI |
| title_full | An introduction to machine learning interpretability: an applied perspective on fairness, accountability, transparency, and explainable AI |
| title_fullStr | An introduction to machine learning interpretability: an applied perspective on fairness, accountability, transparency, and explainable AI |
| title_full_unstemmed | An introduction to machine learning interpretability: an applied perspective on fairness, accountability, transparency, and explainable AI |
| title_short | An introduction to machine learning interpretability: an applied perspective on fairness, accountability, transparency, and explainable AI |
| title_sort | introduction to machine learning interpretability: an applied perspective on fairness, accountability, transparency, and explainable ai |
| topic | Computing and Computers |
| url | http://cds.cern.ch/record/2704210 |
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