MLOps or ML Ops is a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently. The word is a compound of "machine learning" and the continuous delivery practice (CI/CD) of DevOps in the software field. This event is part of the Google I/O Extended and Build with AI series This event is part of the Google I/O Extended and Build with AI series
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MLOps or ML Ops is a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently. The word is a compound of "machine learning" and the continuous delivery practice (CI/CD) of DevOps in the software field. This event is part of the Google I/O Extended and Build with AI series.
Dell EMC, Singapore
Technical Director - GenAI
GDG Organizer
Software Developer, Event Manager
Senior Software Developer, Co-Organizer
Data Scientist, Instructor
The University of British Columbia
Data Scientist Co-Organizer GDG Surrey
Autodesk Inc.
Android Engineer | Co - Organizer
British Columbia Institute of Technology
Outreach Coordinator
Volunteer
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