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...
Otros Autores: | |
---|---|
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 |
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 |