put bold back in

Author: diberry

articles/cognitive-services/LUIS/luis-concept-entity-types.md

@@ -85,7 +85,7 @@ Choose the entity based on how the data should be extracted and how it should be
 
 |Entity type|Purpose|
 |--|--|
-|[Machine-learned](tutorial-machine-learned-entity.md)|Parent grouping of entities, regardless of entity type. Machine-learned entities learn from context in the utterance. This makes variation of placement in example utterances significant. |
+|[**Machine-learned**](tutorial-machine-learned-entity.md)|Parent grouping of entities, regardless of entity type. Machine-learned entities learn from context in the utterance. This makes variation of placement in example utterances significant. |
 |[**List**](reference-entity-list.md)|List of items and their synonyms extracted with **exact text match**.|
 |[**Pattern.any**](reference-entity-pattern-any.md)|Entity where end of entity is difficult to determine. |
 |[**Prebuilt**](luis-reference-prebuilt-entities.md)|Already trained to extract specific kind of data such as URL or email. Some of these prebuilt entities are defined in the open-source [Recognizers-Text](https://github.com/Microsoft/Recognizers-Text) project. If your specific culture or entity isn't currently supported, contribute to the project.|