Mikhail Rozhkov discusses the landscape of features and use cases of DVC in ML engineering and MLOps at DSC Adria Conference 2023.
- Get started with versioning data, artifacts, and models with Data Version Control (DVC);
- Automated and reproducible pipelines with DVC;
- Experiment management and metrics tracking with DVC;
- DVC in MLOps practices
Find out more about DSC Adria here: dscadria.com/i...
Try out the DVC Extension for VS Code here: marketplace.vi...
To learn more about Iterative's open-source and SaaS tools please visit:
🧑🏽💻 Our free online course: learn.iterativ...
✍🏼 Our docs: dvc.org/doc (Data Version Control, Pipelines, Experiments)
cml.dev/doc (CI/CD for Machine Learning)
mlem.ai/doc (Package and Serve your models)
studio.iterati... (Team Collaboration, Experiments, Model Registry)
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