Framing business problems as machine learning (ML) problems
"Successful businesses today are turning to ML as a new approach to solve business challenges. However, transforming your business with ML can be hard from a cultural, competitive, and technology position. Carlos Escapa takes a deep dive into how to identify use cases for ML, acquire cutting-ed...
| 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/alma991009822829406719 |
| Sumario: | "Successful businesses today are turning to ML as a new approach to solve business challenges. However, transforming your business with ML can be hard from a cultural, competitive, and technology position. Carlos Escapa takes a deep dive into how to identify use cases for ML, acquire cutting-edge best practices to frame problems in a way that key stakeholders and senior management can understand and support, and set the stage for delivering successful ML-based solutions for your business. This session is from the 2019 O'Reilly Artificial Intelligence Conference in San Jose, CA. and is sponsored by Amazon Web Services."--Resource description page. |
|---|---|
| Notas: | Title from title screen (viewed July 22, 2020). |
| Descripción Física: | 1 online resource (1 streaming video file (39 min., 23 sec.)) : digital, sound, color |
