We provide short articles on common data science scenarios that DVC can help with or improve. Our use cases are not written to be run end-to-end like tutorials. For more general, hands-on experience with DVC, please see Get Started instead.
Even with all the success we've seen today in machine learning, especially with deep learning and its applications in business, data scientists still lack best practices for organizing their projects and collaborating effectively. This is a critical challenge: while ML algorithms and methods are no longer tribal knowledge, they are still difficult to implement, reuse, and manage.
If you store and process data files or datasets to produce other data or machine learning models, and you want to
DVC is for you!
We keep reviewing our docs and will include interesting scenarios that surface in the community. Please, contact us if you need help or have suggestions!
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