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/items?itemName=Iterative.dvc

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)

*Join the Community on our Discord server:* https://discord.gg/W49xzNmycw

#dvc #machinelearning #datascience #generativeai

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