Practical Machine Learning Techniques for Building Intelligent Applications (Audio Book)
In this episode of the O’Reilly Data Show, Ben Lorica speaks with Mikio Braun, delivery lead and data scientist at Zalando. After spending previous years in academia, Braun recently made the decision to switch to industry. He shares some observations about building large-scale systems, particularly...
Otros Autores: | |
---|---|
Formato: | Grabación de sonido |
Idioma: | Inglés |
Publicado: |
O'Reilly Media, Inc
2016.
|
Edición: | 1st edition |
Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009657367006719 |
Sumario: | In this episode of the O’Reilly Data Show, Ben Lorica speaks with Mikio Braun, delivery lead and data scientist at Zalando. After spending previous years in academia, Braun recently made the decision to switch to industry. He shares some observations about building large-scale systems, particularly deploying data applications in production systems. Given his longstanding background as a machine learning researcher and practitioner, Ben gets his take on topics like deep learning, hybrid systems, feature engineering, and AI applications. |
---|---|
Notas: | Title and publication information from resource description page (Safari, viewed April 28, 2016). |
Descripción Física: | 1 online resource (2584 pages) |