[
https://issues.apache.org/jira/browse/COMDEV-521?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Pablo Estrada updated COMDEV-521:
---------------------------------
Description:
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
was:
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
> [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
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: dev-unsubscr...@community.apache.org
For additional commands, e-mail: dev-h...@community.apache.org
