Update azure-machine-learning-release-notes.md

Author: diondrapeck

articles/machine-learning/service/azure-machine-learning-release-notes.md

@@ -26,7 +26,7 @@ See [the list of known issues](resource-known-issues.md) to learn about known bu
 
 + **New features**
   + Azure Machine Learning now provides first-class support for popular machine learning and data analysis framework Scikit-learn. Using [`SKLearn` estimator](https://docs.microsoft.com/en-us/python/api/azureml-train-core/azureml.train.sklearn.sklearn?view=azure-ml-py), users can easily train and deploy Scikit-learn models.
-    + Learn how to [run hyperparameter tuning with Scikit-learn using HyperDrive](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/training/README.md).
+    + Learn how to [run hyperparameter tuning with Scikit-learn using HyperDrive](https://github.com/Azure/MachineLearningNotebooks/blob/master/how-to-use-azureml/training/train-hyperparameter-tune-deploy-with-sklearn/train-hyperparameter-tune-deploy-with-sklearn.ipynb).
   + Added support for creating ModuleStep in pipelines along with Module and ModuleVersion classes to manage reusable compute units.
   + ACI webservices now support persistent scoring_uri through updates. The scoring_uri will change from IP to FQDN. The Dns Name Label for FQDN can be configured by setting the dns_name_label on deploy_configuration. 
   + Automated machine learning new features: