AI Superstream MLOps MLOps.

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...

Full description

Bibliographic Details
Corporate Author: O'Reilly (Firm), publisher (publisher)
Other Authors: 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
Format: Video
Language:Inglés
Published: Sebastopol, CA : O'Reilly Media, Inc [2022]
Edition:[First edition]
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009825863706719
Description
Summary: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.
Physical Description:1 online resource (1 video file (2 hr., 51 min.)) : sound, color