Operate First Data Science Community Meetup 19

[aakankshaduggal]

Title Operate First Data Science Community Meetup 19 - Distributed Machine Learning with Ray on Open Data Hub

Short Description In this talk, Michael Clifford will provide an overview of the distributed compute framework, Ray, and how it can be used as part of the Open Data Hub project to train, tune, and serve our machine learning models with relative ease on OpenShift. By the end of this talk the audience should be equipped to start using Ray in their own ODH environment or on the Operate First Cloud.

Presentation Day September 6th, 2022

Presenter(s) @MichaelClifford is a Data Scientist at Red Hat, working in the Emerging Technologies group within the Office of the CTO. His current work has focused on evaluating cloud native tools aimed at improving the data science development life cycle.

Actionable Items (Following actions would be carried out by the Organizers of the Operate First Data Science Community Meetup)

• [ ] Add the topic and description to the agenda.
• [ ] Send an invite via email using the email template and a tweet through the Operate First twitter account by adding a PR to operate-first-twitter.
• [ ] Present the talk in Operate First Data Science Meetup. Follow the format and record the meetup.
• [ ] Edit the video recording of the Meetup and upload the video recording to Operate First YouTube channel.
• [ ] Send out meetup recording via email using the email template and tweet through Operate First twitter by adding a PR to operate-first-twitter.

[sesheta]

Issues go stale after 90d of inactivity. Mark the issue as fresh with /remove-lifecycle stale. Stale issues rot after an additional 30d of inactivity and eventually close.

If this issue is safe to close now please do so with /close.

/lifecycle stale

[sesheta]

Stale issues rot after 30d of inactivity. Mark the issue as fresh with /remove-lifecycle rotten. Rotten issues close after an additional 30d of inactivity.

If this issue is safe to close now please do so with /close.

/lifecycle rotten

[sesheta]

Rotten issues close after 30d of inactivity. Reopen the issue with /reopen. Mark the issue as fresh with /remove-lifecycle rotten.

/close

[sesheta]

@sesheta: Closing this issue.

In response to [this](https://github.com/operate-first/operate-first-data-science-community/issues/122#issuecomment-1407455831): >Rotten issues close after 30d of inactivity. >Reopen the issue with `/reopen`. >Mark the issue as fresh with `/remove-lifecycle rotten`. > >/close Instructions for interacting with me using PR comments are available [here](https://git.k8s.io/community/contributors/guide/pull-requests.md). If you have questions or suggestions related to my behavior, please file an issue against the [kubernetes/test-infra](https://github.com/kubernetes/test-infra/issues/new?title=Prow%20issue:) repository.