Introducing Machine Learning Cloud Computing Experiments with DVC Studio

In this video, Daniel Barnes introduces the new alpha feature in Iterative Studio: Cloud Experiments. Learn how to select a commit, modify parameters, and submit your experiment to the cloud. Watch as Daniel demonstrates how to view instance logs, access live plots, and compare changes to experiments in Iterative Studio. Discover the power of running multiple experiments simultaneously with live updates powered by DVCLive. See how cloud experiments populate required environment variables and save results using DVC experiment refs, all manageable in Studio. Join Daniel to learn how to simplify your machine learning cloud computing experimentation with Iterative Studio.

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Find out more information about the DVC 3.0 release in this blog post: https://iterative.ai/blog/dvc-3.0-ml-experiments-data-versioning

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🧑🏽‍💻 Our online course: [https://learn.iterative.ai](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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Видео Introducing Machine Learning Cloud Computing Experiments with DVC Studio канала DVCorg