Challenges in ML CI/CD
Elle and Demetrios discuss the complexities of CI/CD for machine learning, emphasizing the critical role of data management and the challenges of versioning large datasets. They explore the limitations of git LFS and highlight the benefits of using DVC for smoother integration with git.In this clip
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MLOps Coffee Sessions #6 // Continuous Integration for ML // Featuring Elle O'Brien
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?
How does version control help in machine learning as discussed in the episode MLOps Coffee Sessions #6 // Continuous Integration for ML // Featuring Elle O'Brien and the clip ML Code Complexity?