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DevOps for Data Science | DevOps Lab
DevOps for data science: Operationalising machine learning
DevOps in Data Science: What Works and What Doesn’t - Chase Christensen & Stefano Fioravanzo
DevOps for Data Science and AI
DevOps for Data Science: Environments as Code (do4ds01 2)
Dev Ops for Data Science
DevOps for Machine Learning - Damian Brady
DevOps for Data Science : Build 2018
DevOps for Data Science - automate the boring stuff and leverage the OSS ecosystem
SFBA 20170111-- DevOps for Data Science
DevOps for Data Science aka DataOps with Python, Docker & Kubernetes
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Last Updated: September 27, 2026
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Olivier Leroy leads a discussion of Chapter Diana leads a discussion of Chapter 2 ("Data Project Architecture") from Damian talks to Microsoft's Paige Bailey as well as MVP Terry McCann about This session will provide an overview of MLOps, its features and benefits in transforming your business. It will also give an ... Don't miss out! Join us at our upcoming event: KubeCon + CloudNativeCon Europe 2023 in Amsterdam, The Netherlands from ... At GoDataFest 2019, CTO's Marcel de Vries and Niels Zeilemaker talked about Jack Penzer presents Chapter 2 ("Environments as Code") from We revisit the 2018 Microsoft Build in this episode, focusing on the latest ideas in Machine learning is easier to use than ever before, but how do we coordinate the teams involved? Software engineering has ... Join Damian Brady and Paige Bailey as they collaborate to show you how Dr. Tania Allard 2020.pycon.org.au/program/WMMVSQ Does your work (either research, non-profit or industry-based) ... In this session Terry takes us through how to deploy a model with Azure
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