Executive briefing usable machine learning - lessons from Stanford and beyond
"Despite a meteoric rise in data volumes within modern enterprises, enabling nontechnical users to put this data to work in diagnostic and predictive tasks remains a fundamental challenge. Peter Bailis (Sisu | Stanford University) details the lessons learned in building new systems and interfac...
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| Formato: | Vídeo online |
| Idioma: | Inglés |
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[Place of publication not identified] :
O'Reilly Media
2019.
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822828006719 |
