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...

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Detalles Bibliográficos
Otros Autores: Lorica, Ben, author (author)
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
Descripción
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)