An AI/ML landing page for Beam is available now

[Aizhamal Nurmamat kyzy <ai...@apache.org>]

Hi Beam community!

We are happy to announce the release of new resources for AI/ML workflows
in Apache Beam [1].

A number of community members have been working on a series of
documentation guides and end-to-end examples to showcase various common
patterns to perform ML tasks with Apache Beam.

These patterns include data preprocessing with Dataframes, multi-model
inference, anomaly detection, and others. All of these guides come with
corresponding Jupyter notebooks [2] for users to easily try them out.
Please check them out and let us know if they have been useful.


We’ll continue to expand on this work, building guides for more use cases,
such as very large models (>30GB!), complex streaming inference,
cross-language inference, and more. Stay tuned!

Thanks,

Aizhamal

[1] https://beam.apache.org/documentation/ml/overview/
[2] https://github.com/apache/beam/tree/master/examples/notebooks/beam-ml

Re: An AI/ML landing page for Beam is available now

[Danny McCormick via user <us...@beam.apache.org>]

Thank you to everyone who worked on this and especially to Aizhamal for
coordinating the work! These resources make it much easier to build out
your Beam ML workloads.

Thanks,
Danny

On Thu, Nov 10, 2022 at 12:53 PM Aizhamal Nurmamat kyzy <ai...@apache.org>
wrote:

> Hi Beam community!
>
> We are happy to announce the release of new resources for AI/ML workflows
> in Apache Beam [1].
>
> A number of community members have been working on a series of
> documentation guides and end-to-end examples to showcase various common
> patterns to perform ML tasks with Apache Beam.
>
> These patterns include data preprocessing with Dataframes, multi-model
> inference, anomaly detection, and others. All of these guides come with
> corresponding Jupyter notebooks [2] for users to easily try them out.
> Please check them out and let us know if they have been useful.
>
>
> We’ll continue to expand on this work, building guides for more use cases,
> such as very large models (>30GB!), complex streaming inference,
> cross-language inference, and more. Stay tuned!
>
> Thanks,
>
> Aizhamal
>
> [1] https://beam.apache.org/documentation/ml/overview/
> [2] https://github.com/apache/beam/tree/master/examples/notebooks/beam-ml
>

Re: An AI/ML landing page for Beam is available now

[Danny McCormick via dev <de...@beam.apache.org>]

Thank you to everyone who worked on this and especially to Aizhamal for
coordinating the work! These resources make it much easier to build out
your Beam ML workloads.

Thanks,
Danny

On Thu, Nov 10, 2022 at 12:53 PM Aizhamal Nurmamat kyzy <ai...@apache.org>
wrote:

> Hi Beam community!
>
> We are happy to announce the release of new resources for AI/ML workflows
> in Apache Beam [1].
>
> A number of community members have been working on a series of
> documentation guides and end-to-end examples to showcase various common
> patterns to perform ML tasks with Apache Beam.
>
> These patterns include data preprocessing with Dataframes, multi-model
> inference, anomaly detection, and others. All of these guides come with
> corresponding Jupyter notebooks [2] for users to easily try them out.
> Please check them out and let us know if they have been useful.
>
>
> We’ll continue to expand on this work, building guides for more use cases,
> such as very large models (>30GB!), complex streaming inference,
> cross-language inference, and more. Stay tuned!
>
> Thanks,
>
> Aizhamal
>
> [1] https://beam.apache.org/documentation/ml/overview/
> [2] https://github.com/apache/beam/tree/master/examples/notebooks/beam-ml
>