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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