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Machine Learning Made Easy on Kubernetes. DevOps for Data Scientists - Brian Redmond, Microsoft
DevOps for Data Science : Build 2018
DevOps for Data Science and AI
SFBA 20170111-- DevOps for Data Science
DevOps for Data Science - automate the boring stuff and leverage the OSS ecosystem
Dev Ops for Data Science
DevOps in Data Science: What Works and What Doesn’t - Chase Christensen & Stefano Fioravanzo
DevOps for Data Science: IT/Admin for Data Science (do4ds01 11 12 13 14)
Machine Learning Operations – Applying DevOps to Data Science
Devops In Data Science: reclaiming 80% of your time - Data Science Festival
Devops for Data Science: Introduction (do4ds02 0)
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Last Updated: September 20, 2026
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Summary
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 ... Join Damian Brady and Paige Bailey as they collaborate to show you how 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) ... We revisit the 2018 Microsoft Build in this episode, focusing on the latest ideas in Don't miss out! Join us at our upcoming event: KubeCon + CloudNativeCon Europe 2023 in Amsterdam, The Netherlands from ... Jon Harmon sets up RStudio Server and a plumber API on an AWS EC2. The process comes from the Speaker: Eason Lai, Cloud Solution Architect, Microsoft Hong Kong Many companies have adopted Olivier Leroy leads a discussion of Chapter 0 ("Introduction") from