fixing links

Author: Larry Franks

articles/machine-learning/concept-compute-instance.md

@@ -39,7 +39,7 @@ A compute instance is a fully managed cloud-based workstation optimized for your
 |Preconfigured for ML|Save time on setup tasks with pre-configured and up-to-date ML packages, deep learning frameworks, GPU drivers.|
 |Fully customizable|Broad support for Azure VM types including GPUs and persisted low-level customization such as installing packages and drivers makes advanced scenarios a breeze. You can also use setup scripts to automate customization |
 
-* Secure your compute instance with **[No public IP (preview)](./how-to-secure-training-vnet.md#no-public-ip)**
+* Secure your compute instance with **[No public IP (preview)](./how-to-secure-training-vnet.md)**.
 * The compute instance is also a secure training compute target similar to [compute clusters](how-to-create-attach-compute-cluster.md), but it is single node. 
 * You can [create a compute instance](how-to-create-manage-compute-instance.md?tabs=python#create) yourself, or an administrator can **[create a compute instance on your behalf](how-to-create-manage-compute-instance.md?tabs=python#create-on-behalf-of-preview)**.
 * You can also **[use a setup script (preview)](how-to-customize-compute-instance.md)**  for an automated way to customize and configure the compute instance as per your needs.

articles/machine-learning/how-to-secure-training-vnet.md

@@ -71,7 +71,7 @@ In this article you learn how to secure the following training compute resources
     * A compute cluster can dynamically scale. If there aren't enough unassigned IP addresses, the cluster will be partially allocated.
     * A compute instance only requires one IP address.
 
-* To create a compute cluster or instance [without a public IP address](#no-public-ip) (a preview feature), your workspace must use a private endpoint to connect to the VNet. For more information, see [Configure a private endpoint for Azure Machine Learning workspace](how-to-configure-private-link.md).
+* To create a compute cluster or instance without a public IP address (a preview feature), your workspace must use a private endpoint to connect to the VNet. For more information, see [Configure a private endpoint for Azure Machine Learning workspace](how-to-configure-private-link.md).
 * If you plan to secure the virtual network by restricting traffic, see the [Required public internet access](#required-public-internet-access) section.
 * The subnet used to deploy compute cluster/instance shouldn't be delegated to any other service. For example, it shouldn't be delegated to ACI.