MLOps Tutorial #2: When data is too big for Git

Publicado el: 06 agosto 2020
en el canal de: DVCorg

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533

Git is a core part of DevOps and continuous integration, but making it work with machine-learning-sized datasets can be challenging. This hands-on tutorial shows you how to use Git version control with a machine learning project even when your dataset is too big for GitHub. We'll focus on setting up a remote data repository and using Git + DVC to push from your computer, to external storage, and anywhere else it needs to go!

We'll be using:
Git & GitHub
Free Google Drive storage
DVC

Resources:
Code: https://github.com/elleobrien/mlops_t...
DVC "Getting Started" docs: https://dvc.org/doc/start

Questions? Comments? Let us know! We'll do our best to answer any technical questions.

🧑🏽‍💻 To learn more. about our tools, take our free online course at https://learn.iterative.ai

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