Update how-to-use-environments.md

Author: ShawnJackson

articles/machine-learning/how-to-use-environments.md

@@ -347,7 +347,7 @@ This [example notebook](https://github.com/Azure/MachineLearningNotebooks/tree/m
 
 [Deploy a model using a custom Docker base image](how-to-deploy-custom-docker-image.md) demonstrates how to deploy a model using a custom Docker base image.
 
-This [example notebook](https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/deployment/spark) demonstrates how to deploy a Spark model as a Web service.
+This [example notebook](https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/deployment/spark) demonstrates how to deploy a Spark model as a web service.
 
 ## Create and manage environments with the CLI
 
@@ -382,4 +382,4 @@ az ml environment download -n myenv -d downloaddir
 * To use a managed compute target to train a model, see [Tutorial: Train a model](tutorial-train-models-with-aml.md).
 * After you have a trained model, learn [how and where to deploy models](how-to-deploy-and-where.md).
 * View the [`Environment` class SDK reference](https://docs.microsoft.com/python/api/azureml-core/azureml.core.environment(class)?view=azure-ml-py).
-* For more information about the concepts and methods described in this article, see this [example notebook](https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/training/using-environments).
+* For more information about the concepts and methods described in this article, see the [example notebook](https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/training/using-environments).