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https://issues.apache.org/jira/browse/COMDEV-521?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Pablo Estrada updated COMDEV-521:
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difficulty-level: Medium (was: Easy)
> [GSoC][Beam] Build out Beam Machine Learning Use Cases
> ------------------------------------------------------
>
> Key: COMDEV-521
> URL: https://issues.apache.org/jira/browse/COMDEV-521
> Project: Community Development
> Issue Type: Task
> Components: GSoC/Mentoring ideas
> Reporter: Pablo Estrada
> Priority: Major
> Labels: Beam, full-time, gsoc, gsoc2023
>
> Today, you can do all sorts of Machine Learning using Apache Beam
> ([https://beam.apache.org/documentation/ml/overview/]).
>
> Many of our users, however, have a hard time getting started with ML and
> understanding how Beam can be applied to their day to day work. The goal of
> this project is to build out a series of Beam pipelines as Jupyter Notebooks
> demonstrating real world ML use cases, from NLP to image recognition to using
> large language models. As you go, there may be bugs or friction points as
> well which will provide opportunities to contribute back to Beam's core ML
> libraries.
>
> Mentor for this will be Danny McCormick
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