start: Data Access mentions tracking models without clarifying what kind

Fixes #2096

content/docs/start/data-access.md

@@ -4,10 +4,13 @@ title: 'Get Started: Data Access'
 
 # Get Started: Data Access
 
-Okay, now that we've learned how to _track_ data and models with DVC and how to
-version them with Git, next question is how can we _use_ these artifacts outside
-of the project? How do I download a model to deploy it? How do I download a
-specific version of a model? How do I reuse datasets across different projects?
+Okay, now that we've learned how to _track_ data files in DVC and how to version
+them with Git. _Models_ in a machine learning project are also files written and
+read by programs and DVC can track and version them similar to data files.
+
+Next question is how can we _use_ these artifacts outside of the project? How do
+I download a model to deploy it? How do I download a specific version of a
+model? How do I reuse datasets across different projects?
 
 > These questions tend to come up when you browse the files that DVC saves to
 > remote storage, e.g.