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Posted to github@beam.apache.org by GitBox <gi...@apache.org> on 2022/07/19 14:30:08 UTC
[GitHub] [beam] tvalentyn commented on a diff in pull request #22325: Add links to the new RunInference content to Learning Resources
tvalentyn commented on code in PR #22325:
URL: https://github.com/apache/beam/pull/22325#discussion_r924576104
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website/www/site/content/en/documentation/resources/learning-resources.md:
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@@ -66,6 +66,7 @@ If you have additional material that you would like to see here, please let us k
### Machine Learning
+* **[Machine Learning with Python using the RunInference API](/documentation/sdks/python-machine-learning/)** - Use Apache Beam with the RunInference API to use machine learning (ML) models to do local and remote inference with batch and streaming pipelines. Follow the [RunInference API pipeline examples](https://github.com/apache/beam/tree/master/sdks/python/apache_beam/examples/inference) to do image classification, image segmentation, language modeling, and MNITST digit classification. See examples of [RunInference transforms](/documentation/transforms/python/elementwise/runinference/).
Review Comment:
```suggestion
* **[Machine Learning with Python using the RunInference API](/documentation/sdks/python-machine-learning/)** - Use Apache Beam with the RunInference API to use machine learning (ML) models to do local and remote inference with batch and streaming pipelines. Follow the [RunInference API pipeline examples](https://github.com/apache/beam/tree/master/sdks/python/apache_beam/examples/inference) to do image classification, image segmentation, language modeling, and MNIST digit classification. See examples of [RunInference transforms](/documentation/transforms/python/elementwise/runinference/).
```
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