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DevOps for Data Science | DevOps Lab
DevOps for data science: Operationalising machine learning
Machine Learning Made Easy on Kubernetes. DevOps for Data Scientists - Brian Redmond, Microsoft
Devops for Data Science: Introduction (do4ds02 0)
DevOps for Data Science : Build 2018
Devops for Data Science: The Command Line (do4ds02 8)
DevOps in Data Science: What Works and What Doesn’t - Chase Christensen & Stefano Fioravanzo
DevOps for Data Science and AI
DevOps for Data Science - automate the boring stuff and leverage the OSS ecosystem
Devops for Data Science: Application Administration (do4ds02 10)
DevOps for Data Science: Getting Started with the Cloud (do4ds01 10)
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Last Updated: September 20, 2026
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Summary
Jon Harmon moderates a Q&A session with the author of Are you confusing to choose the software course either 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 ... Machine Learning Made Easy on Kubernetes. Olivier Leroy leads a discussion of Chapter 0 ("Introduction") from Join Damian Brady and Paige Bailey as they collaborate to show you how Umair Durrani leads a discussion of Chapter 8 ("The Command Line") from 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 Dr. Tania Allard 2020.pycon.org.au/program/WMMVSQ Does your work (either research, non-profit or industry-based) ... Arthur Shaw leads a discussion of Chapter 10 ("Application Administration") from Jon Harmon presents Chapter 10 ("Getting Started with the Cloud") from