Spotlight on data Catching big data for machine learning at Uber

"From determining the most convenient rider pickup points to predicting the fastest routes, Uber uses data-driven machine learning to create seamless trip experiences. Within engineering, big data and machine learning inform decision-making processes across the board. As Uber expands to new mar...

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Detalles Bibliográficos
Autor Corporativo: O'Reilly & Associates, publisher (publisher)
Otros Autores: Luo, Zhenziao, on-screen presenter (onscreen presenter)
Formato: Vídeo online
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly Media 2019.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822803906719
Descripción
Sumario:"From determining the most convenient rider pickup points to predicting the fastest routes, Uber uses data-driven machine learning to create seamless trip experiences. Within engineering, big data and machine learning inform decision-making processes across the board. As Uber expands to new markets, the ability to accurately and quickly use data to make predictions becomes even more important. In this case study, Uber's Zhenxiao Luo details the company's machine learning architecture and talk about how Uber uses big data to power machine learning jobs."--Resource description page.
Notas:Title from title screen (viewed November 8, 2019).
Descripción Física:1 online resource (1 streaming video file (1 hr., 53 sec.)) : digital, sound, color