DVC in Machine Learning Engineering and MLOps Practices

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: https://dscadria.com/index.html

Try out the DVC Extension for VS Code here: https://marketplace.visualstudio.com/...

To learn more about Iterative's open-source and SaaS tools please visit:
🧑🏽‍💻 Our free online course: https://learn.iterative.ai
✍🏼 Our docs: https://dvc.org/doc (Data Version Control, Pipelines, Experiments)
https://cml.dev/doc (CI/CD for Machine Learning)
https://mlem.ai/doc (Package and Serve your models)
https://studio.iterative.ai (Team Collaboration, Experiments, Model Registry)

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#dvc #machinelearning #datascience #generativeai