AI Superstream. MLOps

AI Superstream MLOps MLOps.

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MLOps is consistently one of the greatest challenges engineers face when creating and maintaining machine learning systems. Join expert practitioners to learn techniques and best practices for operationalizing machine learning models and explore case studies of them in action, showing you what works...

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Detalles Bibliográficos
Autor Corporativo: O'Reilly (Firm), publisher (publisher)
Otros Autores: Manjengwa, Shingai. host (host), Chang, Susan. speaker (speaker), Tsubiks, Olga. speaker, Gift, Noah. speaker, Bell, Jason (Computer scientist), speaker, Zimmerman, Isabel. speaker, Underwood, Todd (Computer scientist), speaker
Formato: Video
Idioma:Inglés
Publicado: Sebastopol, CA : O'Reilly Media, Inc [2022]
Edición:[First edition]
Materias:
Machine learning.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009825863706719
Descripción
Sumario:MLOps is consistently one of the greatest challenges engineers face when creating and maintaining machine learning systems. Join expert practitioners to learn techniques and best practices for operationalizing machine learning models and explore case studies of them in action, showing you what works--and what doesn't. This recording of a live event is for you because...you're a data or machine learning practitioner who puts machine learning models into production, or you're embarking on an MLOps career path, or if you want to improve your process of productionizing machine learning models by applying new techniques and best practices.
Descripción Física:1 online resource (1 video file (2 hr., 51 min.)) : sound, color

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