fix environments

Author: sdgilley

articles/machine-learning/how-to-use-serverless-compute.md

@@ -117,11 +117,12 @@ When you [view your usage and quota in the Azure portal](how-to-manage-quotas.md
     $schema: https://azuremlschemas.azureedge.net/latest/commandJob.schema.json
     command: echo "hello world"
     environment:
-      image: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+      image: library/python:latest
     identity:
       type: user_identity
     ```
-    Run the file using the following command:
+
+    Submit the job with the following command:
 
     ```bash
     az ml job create --file hello.yaml --resource-group my-resource-group --workspace-name my-workspace
@@ -150,7 +151,7 @@ When you [view your usage and quota in the Azure portal](how-to-manage-quotas.md
     )
     job = command(
         command="echo 'hello world'",
-        environment=""azureml://registries/azureml/environments/sklearn-1.5/labels/latest"",
+        environment="azureml://registries/azureml/environments/sklearn-1.5/labels/latest",
             identity= ManagedIdentityConfiguration(),
     )
     # submit the command job
@@ -164,7 +165,7 @@ When you [view your usage and quota in the Azure portal](how-to-manage-quotas.md
     $schema: https://azuremlschemas.azureedge.net/latest/commandJob.schema.json
     command: echo "hello world"
     environment:
-      image: azureml:AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest
+      image: library/python:latest
     identity:
       type: managed
     ````
@@ -196,7 +197,7 @@ ml_client = MLClient(
 )
 job = command(
     command="echo 'hello world'",
-    environment="AzureML-sklearn-1.0-ubuntu20.04-py38-cpu@latest",
+    environment="azureml://registries/azureml/environments/sklearn-1.5/labels/latest",
 )
 # submit the command job
 ml_client.create_or_update(job)
@@ -242,7 +243,7 @@ You can override these defaults.  If you want to specify the VM type or number o
     )
     job = command(
         command="echo 'hello world'",
-        environment=""azureml://registries/azureml/environments/sklearn-1.5/labels/latest"",
+        environment="azureml://registries/azureml/environments/sklearn-1.5/labels/latest",
         resources = JobResourceConfiguration(instance_type="Standard_NC24", instance_count=4)
     )
     # submit the command job
@@ -281,7 +282,7 @@ You can override these defaults.  If you want to specify the VM type or number o
     )
     job = command(
         command="echo 'hello world'",
-        environment=""azureml://registries/azureml/environments/sklearn-1.5/labels/latest"",
+        environment="azureml://registries/azureml/environments/sklearn-1.5/labels/latest",
         queue_settings={
           "job_tier": "spot"  
         }
@@ -322,7 +323,7 @@ ml_client = MLClient(
 )
 job = command(
     command="echo 'hello world'",
-    environment=""azureml://registries/azureml/environments/sklearn-1.5/labels/latest"",
+    environment="azureml://registries/azureml/environments/sklearn-1.5/labels/latest",
          identity=UserIdentityConfiguration(),
     queue_settings={
       "job_tier": "Standard"