Adjust language

Author: JKirsch1

articles/machine-learning/how-to-access-data-batch-endpoints-jobs.md

@@ -338,7 +338,7 @@ Literal inputs refer to inputs that can be represented and resolved at invocatio
 - `float`
 - `integer`
 
-Literal inputs are only supported in pipeline component deployments. To learn how to specify literal endpoints, see [Create jobs with literal inputs](#create-jobs-with-literal-inputs).
+Literal inputs are only supported in pipeline component deployments. To see how to specify literal endpoints, see [Create jobs with literal inputs](#create-jobs-with-literal-inputs).
 
 ### Explore data outputs
 
@@ -673,7 +673,7 @@ This example uses the default data store, but you can use a different data store
 
 Machine Learning batch endpoints can read data from cloud locations in Storage accounts, both public and private. Use the following steps to run a batch endpoint job with data in a storage account.
 
-To learn more about extra required configurations for reading data from storage accounts, see [Configure compute clusters for data access](how-to-authenticate-batch-endpoint.md#configure-compute-clusters-for-data-access).
+For more information about extra required configurations for reading data from storage accounts, see [Configure compute clusters for data access](how-to-authenticate-batch-endpoint.md#configure-compute-clusters-for-data-access).
 
 1. Set up the input: