fixing links

Author: Larry Franks

articles/machine-learning/how-to-identity-based-data-access.md

@@ -234,5 +234,5 @@ identity:
 ## Next steps
 
 * [Create an Azure Machine Learning dataset](./v1/how-to-create-register-datasets.md)
-* [Train with datasets](how-to-train-with-datasets.md)
+* [Train with datasets](v1/how-to-train-with-datasets.md)
 * [Create a datastore with key-based data access](v1/how-to-access-data.md)

articles/machine-learning/v1/concept-data.md

@@ -107,7 +107,7 @@ With datasets, you can accomplish a number of machine learning tasks through sea
      + the [designer](../tutorial-designer-automobile-price-train-score.md#import-data)
      + [notebooks](how-to-train-with-datasets.md)
      + [Azure Machine Learning pipelines](how-to-create-machine-learning-pipelines.md)
-+ Access datasets for scoring with [batch inference](tutorial-pipeline-batch-scoring-classification.md) in [machine learning pipelines](../how-to-create-machine-learning-pipelines.md).
++ Access datasets for scoring with [batch inference](../tutorial-pipeline-batch-scoring-classification.md) in [machine learning pipelines](how-to-create-machine-learning-pipelines.md).
 + Set up a dataset monitor for [data drift](#monitor-model-performance-with-data-drift) detection.
 
 

articles/machine-learning/v1/how-to-create-machine-learning-pipelines.md

@@ -33,7 +33,7 @@ If you don't have an Azure subscription, create a free account before you begin.
 
 * An Azure Machine Learning workspace. [Create workspace resources](../quickstart-create-resources.md).
 
-* [Configure your development environment](how-to-configure-environment.md) to install the Azure Machine Learning SDK, or use an [Azure Machine Learning compute instance](../concept-compute-instance.md) with the SDK already installed.
+* [Configure your development environment](../how-to-configure-environment.md) to install the Azure Machine Learning SDK, or use an [Azure Machine Learning compute instance](../concept-compute-instance.md) with the SDK already installed.
 
 Start by attaching your workspace:
 

articles/machine-learning/v1/how-to-deploy-pipelines.md

@@ -24,7 +24,7 @@ Machine learning pipelines are reusable workflows for machine learning tasks. On
 
 * Create an [Azure Machine Learning workspace](../quickstart-create-resources.md) to hold all your pipeline resources
 
-* [Configure your development environment](../how-to-configure-environment.md) to install the Azure Machine Learning SDK, or use an [Azure Machine Learning compute instance](../-compute-instance.md) with the SDK already installed
+* [Configure your development environment](../how-to-configure-environment.md) to install the Azure Machine Learning SDK, or use an [Azure Machine Learning compute instance](../concept-compute-instance.md) with the SDK already installed
 
 * Create and run a machine learning pipeline, such as by following [Tutorial: Build an Azure Machine Learning pipeline for batch scoring](../tutorial-pipeline-batch-scoring-classification.md). For other options, see [Create and run machine learning pipelines with Azure Machine Learning SDK](./how-to-create-machine-learning-pipelines.md)
 

articles/machine-learning/v1/how-to-log-pipelines-application-insights.md

@@ -92,7 +92,7 @@ By default, logs forwarded to Application Insights won't have enough context to
 
 To add these fields, Custom Dimensions can be added to provide context to a log message. One example is when someone wants to view logs across multiple steps in the same pipeline run.
 
-Custom Dimensions make up a dictionary of key-value (stored as string, string) pairs. The dictionary is then sent to Application Insights and displayed as a column in the query results. Its individual dimensions can be used as [query parameters](#additional-helpful-queries).
+Custom Dimensions make up a dictionary of key-value (stored as string, string) pairs. The dictionary is then sent to Application Insights and displayed as a column in the query results. Its individual dimensions can be used as [query parameters](#other-helpful-queries).
 
 ### Helpful Context to include