Streamlining ML Development
Mariya discusses using popular tools like Jupyter notebooks and Tensorboards for ML development, emphasizing the importance of efficient experimentation. She highlights the simplicity of running commands with Makefile and the integration of git for code management. The focus is on optimizing the development stage before transitioning to production challenges.In this clip
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MLOps Meetup #26 // How to Leverage ML Tooling Ecosystem // Mariya Davydova - Head of Product at Neu.ro
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