A framework to bootstrap and scale a machine learning function

"Madhura Dudhgaonkar (Workday) breaks down the lessons learned into an actionable framework to bootstrap and scale a machine learning product function. You'll see the framework in action through an actual 0 to 1 product journey, involving deep learning where value was delivered in record s...

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Detalles Bibliográficos
Otros Autores: Dudhgaonkar, Madhura, 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/alma991009822819306719
Descripción
Sumario:"Madhura Dudhgaonkar (Workday) breaks down the lessons learned into an actionable framework to bootstrap and scale a machine learning product function. You'll see the framework in action through an actual 0 to 1 product journey, involving deep learning where value was delivered in record speed in spite of not having a dataset. You'll hear counterintuitive tips that Madhura has been using to productize ML services over the last 5+ years (using a diverse range of technologies--vision, language, graph, anomaly detection, search relevance, and personalization). This session is from the 2019 O'Reilly Artificial Intelligence Conference in San Jose, CA."--Resource description page.
Notas:Title from title screen (viewed July 23, 2020).
Descripción Física:1 online resource (1 streaming video file (37 min., 19 sec.)) : digital, sound, color