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Update README.md
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@mindhash
mindhash committed Apr 9, 2020
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Expand Up @@ -8,7 +8,7 @@ hyperML works on top of kubernetes to provide reusable environments, launch or s
## Problems solved
* Ease of use (follows general dialect of data science)
* Abstracts infrastructure from data scientists and ML engineers leting them focus more on science
* Extending your local environment with on-demand cloud resources without having to leave your favourite IDE (jupyter labs at the moment but VS code extension is planned).
* Extend your local environment with on-demand cloud resources without having to leave your favourite IDE (jupyter labs at the moment but VS code extension is planned).
* Scale ML experiments by effortlessly launching new notebooks or scheduling them to run in background
* Share infrastructure resources especially when there is shortage of it
* Hassle free environments through container images
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