WtD fixit: Readability improvements for Overview of Kubeflow Fairing (#…

…1369)

Fixes https://www.kubeflow.org/docs/fairing/fairing-overview/

content/docs/fairing/fairing-overview.md

@@ -37,14 +37,9 @@ Fairing to deploy your trained model as a prediction endpoint on Kubeflow.
 
 The following are the goals of the [Kubeflow Fairing project][fairing-repo]:
 
-*  Easily package ML training jobs: Enable ML practitioners to easily package
-   their ML model training code, and their code's dependencies, as a Docker
-   image. 
-*  Easily train ML models in a hybrid cloud environment: Provide a high-level
-   API for training ML models to make it easy to run training jobs in the
-   cloud, without needing to understand the underlying infrastructure.
-*  Streamline the process of deploying a trained model: Make it easy for ML
-   practitioners to deploy trained ML models to a hybrid cloud environment. 
+* **Easily package ML training jobs:** Enable ML practitioners to easily package their ML model training code, and their code's dependencies, as a Docker image. 
+* **Easily train ML models in a hybrid cloud environment:** Provide a high-level API for training ML models to make it easy to run training jobs in the cloud, without needing to understand the underlying infrastructure.
+* **Streamline the process of deploying a trained model:** Make it easy for ML practitioners to deploy trained ML models to a hybrid cloud environment. 
 
 ## Next steps
 
@@ -58,4 +53,4 @@ The following are the goals of the [Kubeflow Fairing project][fairing-repo]:
 
 [conf]: /docs/fairing/configure-fairing/
 [install]: /docs/fairing/install-fairing/
-[tutorials]: /docs/fairing/tutorials/other-tutorials/
+[tutorials]: /docs/fairing/tutorials/other-tutorials/