Merge pull request #3838 from cdpark/refresh-ai-batch2

Feature 411216: Q&M: AI Freshness - Azure Machine Learning - batch 2

Author: denrea

articles/machine-learning/how-to-auto-train-nlp-models.md

@@ -232,7 +232,7 @@ Named entity recognition (NER)|`"eng"` <br>  `"deu"` <br> `"mul"`|  English&nbsp
 
 [!INCLUDE [cli v2](includes/machine-learning-cli-v2.md)]
 
-You can specify your dataset language in the featurization section of your configuration YAML file. BERT is also used in the featurization process of automated ML experiment training, learn more about [BERT integration and featurization in automated ML (SDK v1)](./v1/how-to-configure-auto-features.md#bert-integration-in-automated-ml).
+You can specify your dataset language in the featurization section of your configuration YAML file. BERT is also used in the featurization process of automated ML experiment training, learn more about [BERT integration and featurization in AutoML (SDK v1)](./v1/how-to-configure-auto-features.md#bert-integration-in-automl).
 
 ```azurecli
 featurization:
@@ -243,7 +243,7 @@ featurization:
 
  [!INCLUDE [sdk v2](includes/machine-learning-sdk-v2.md)]
 
-You can specify your dataset language with the `set_featurization()` method. BERT is also used in the featurization process of automated ML experiment training, learn more about [BERT integration and featurization in automated ML (SDK v1)](./v1/how-to-configure-auto-features.md?view=azureml-api-1&preserve-view=true#bert-integration-in-automated-ml).
+You can specify your dataset language with the `set_featurization()` method. BERT is also used in the featurization process of automated ML experiment training, learn more about [BERT integration and featurization in AutoML (SDK v1)](./v1/how-to-configure-auto-features.md?view=azureml-api-1&preserve-view=true#bert-integration-in-automl).
 
 ```python
 text_classification_job.set_featurization(dataset_language='eng')