Data Versioning Challenges
Mariya shares the challenges faced in understanding data versioning and reproducing experiments accurately. Infrastructure installation issues also caused delays, highlighting the complexities of integrating open-source tools for pipeline creation.In this clip
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MLOps.community
MLOps Meetup #26 // How to Leverage ML Tooling Ecosystem // Mariya Davydova - Head of Product at Neu.ro
Related Questions
How does version control help in machine learning, as discussed in the episode MLOps Meetup #19 // DataOps and Data Versioning in ML // Dmitry Petrov and the clip DVC in Automation?
How does version control help in machine learning as discussed in the episode MLOps Meetup #19 // DataOps and Data Versioning in ML // Dmitry Petrov and the clip DVC in Automation?
Why do things take so much more time than expected for developers, especially in the context of the episode Clean Architecture - How to Quantify Component Coupling and the clip Streamlining Development Process?