Hands on inquiry into algorithmic bias and machine learning interpretability

Hands on inquiry into algorithmic bias and machine learning interpretability

"Presented by Fatih Akici, Manager, Risk Analytics and Data Science at Populus Financial Group. As intelligent systems deepen their footprints in our daily lives, algorithmic bias becomes a more prominent problem in today's world. The position of executives and data science leaders to this...

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Detalles Bibliográficos
Autor Corporativo: Data Science Salon, publisher (publisher)
Otros Autores: Akici, Fatih, on-screen presenter (onscreen presenter)
Formato: Vídeo online
Idioma:Inglés
Publicado: [Austin, Texas] : Data Science Salon 2020.
Materias:
Computer algorithms.
Machine learning > Social aspects.
Research > Statistical methods.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822830906719

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