Update concept-workspace.md

Author: deeikele

articles/machine-learning/concept-workspace.md

@@ -32,7 +32,7 @@ For machine learning teams, the workspace is a place to organize their work. To
 + **Create a workspace per project**: While a workspace can be used for multiple projects, limiting it to one project per workspace allows for cost reporting accrued to a project level. It also allows you to manage configurations like datastores in the scope of each project.
 + **Share Azure resources**: Workspaces require you to create a number of [associated resources](#associated-resources). Share these resources between workspaces to save repetitive set up steps.
 + **Enable self-serve**: Pre-create and secure [associated resources](#associated-resources) as an IT admin, and use [user roles](how-to-assign-roles.md) to let data scientists create workspaces on their own.
-+ **Share assets**: You can share assets between workspaces** using [Azure Machine Learning registries (preview)](how-to-share-models-pipelines-across-workspaces-with-registries.md).
++ **Share assets**: You can share assets between workspaces using [Azure Machine Learning registries (preview)](how-to-share-models-pipelines-across-workspaces-with-registries.md).
 
 ## What content is stored in a workspace?