pull base content,head:MicrosoftDocs:main,into:wwlpublishsync

Author: wwlpublish

learn-pr/azure/aks-application-autoscaling-native/includes/1-introduction.md

@@ -18,7 +18,7 @@ By the end of this module, you're able to:
 
 - Familiarity with Kubernetes concepts. If you're new to Kubernetes, start with the [basics of Kubernetes](https://azure.microsoft.com/topic/what-is-kubernetes/?azure-portal=true&WT.mc_id=deploycontainerapps_intro-learn-ludossan).
 - Familiarity with [Git](/contribute/git-github-fundamentals?WT.mc_id=deploycontainerapps_intro-learn-ludossan) and [GitHub](https://github.com).
-- An active Azure [subscription](https://azure.microsoft.com/free/services/kubernetes-service/?azure-portal=true&WT.mc_id=deploycontainerapps_intro-learn-ludossan).
+- An active Azure [subscription](https://azure.microsoft.com/products/kubernetes-service).
 - Ability to use the [Azure CLI](/azure/aks/kubernetes-walkthrough?WT.mc_id=deploycontainerapps_intro-learn-ludossan).
 - Ability to create a Docker container. If you're new to Docker, start with the [intro to containers](/training/modules/intro-to-containers/?WT.mc_id=deploycontainerapps_intro-learn-ludossan).
 

learn-pr/azure/aks-manage-application-state/includes/1-introduction.md

@@ -15,7 +15,7 @@ By the end of this module, you'll be able to:
 - Familiarity with Kubernetes concepts. If you're new to Kubernetes, review the [basics of Kubernetes](https://azure.microsoft.com/topic/what-is-kubernetes) before you begin.
 - Familiarity with [Git](/contribute/git-github-fundamentals) and [GitHub](https://github.com).
 - Familiarity with [Docker](https://docker.com) and Docker images.
-- An active Azure [subscription](https://azure.microsoft.com/free/services/kubernetes-service).
+- An active Azure [subscription](https://azure.microsoft.com/products/kubernetes-service).
 - The ability to use the [Azure CLI](/azure/aks/kubernetes-walkthrough).
 - The ability to create a Docker container. If you're new to Docker, review the [introduction to containers](/training/modules/intro-to-containers/) before you begin.
 

learn-pr/azure/aks-secrets-configure-app/includes/1-introduction.md

@@ -15,7 +15,7 @@ By the end of this module, you're able to:
 - Familiarity with Kubernetes concepts. If you're new to Kubernetes, review the [Kubernetes basics](https://azure.microsoft.com/topic/what-is-kubernetes).
 - Familiarity with [Git](/contribute/git-github-fundamentals) and [GitHub](https://github.com).
 - Familiarity with [Docker](https://docker.com) and Docker images.
-- An active Azure [subscription](https://azure.microsoft.com/free/services/kubernetes-service).
+- An active Azure [subscription](https://azure.microsoft.com/products/kubernetes-service).
 - The ability to use the [Azure CLI](/azure/aks/kubernetes-walkthrough).
 - The ability to create a Docker container. If you're new to Docker, start with the [Introduction to containers](/training/modules/intro-to-containers/).
 

learn-pr/azure/build-3d-scene-mixed-reality-unity/includes/8-summary.md

@@ -15,4 +15,4 @@ Experiencing Digital Twins inside the Unity editor can be useful, but you can re
 * [Use the Start menu and mixed-reality home](/hololens/holographic-home#close-apps)
 * [MRTK Input Simulation Service](/windows/mixed-reality/mrtk-unity/features/input-simulation/input-simulation-service)
 * [Getting around HoloLens 2](/hololens/hololens2-basic-usage)
-* [Unity's Interface documentation](https://docs.unity3d.com/Manual/UsingTheEditor.html)
+* [Unity's Interface documentation](https://docs.unity3d.com/2023.2/Documentation/Manual/UsingTheEditor.html)

learn-pr/azure/intro-to-docker-containers/includes/3-how-docker-images-work.md

@@ -200,7 +200,7 @@ tmp-ubuntu          version-1.0        f89469694960        14 minutes ago
 ubuntu              18.04                   a2a15febcdf3        5 weeks ago            64.2MB
 ```
 
-Notice how the image is listed with its _Name_, _Tag_, and an _Image ID_. Recall that we can apply multiple labels to an image. The preceding output shows an example; even though the image names are different, we can see the IDs are the same.
+Notice how the image is listed with its _Repository_, _Tag_, and an _Image ID_. Recall that we can apply multiple labels to an image. The preceding output shows an example; even though the image names are different, we can see the IDs are the same.
 
 The image ID is a useful way to identify and manage images where the name or tag of an image might be ambiguous.
 

learn-pr/azure/introduction-to-data-for-machine-learning/1-introduction.yml

@@ -1,14 +1,14 @@
-### YamlMime:ModuleUnit
-uid: learn.machinelearning.introduction-to-data-for-machine-learning.introduction
-title: Introduction
-metadata:
-  title: Introduction
-  description: Introduction to data for machine learning module.
-  ms.date: 10/10/2024
-  author: fbsolo-ms1
-  ms.author: franksolomon
-  ms.reviewer: franksolomon
-  ms.topic: unit
-durationInMinutes: 2
-content: |
-  [!include[](includes/1-introduction.md)] 
+### YamlMime:ModuleUnit
+uid: learn.machinelearning.introduction-to-data-for-machine-learning.introduction
+title: Introduction
+metadata:
+  title: Introduction
+  description: Introduction to data for machine learning module.
+  ms.date: 05/21/2025
+  author: fbsolo-ms1
+  ms.author: franksolomon
+  ms.reviewer: franksolomon
+  ms.topic: unit
+durationInMinutes: 2
+content: |
+  [!include[](includes/1-introduction.md)] 

learn-pr/azure/introduction-to-data-for-machine-learning/2-detect-correct-data.yml

@@ -1,15 +1,15 @@
-### YamlMime:ModuleUnit
-uid: learn.machinelearning.introduction-to-data-for-machine-learning.detect-correct-data
-title: Good, bad, and missing data
-metadata:
-  title: Good, bad, and missing data
-  description: Conceptual unit introducing types of data in machine learning
-  ms.date: 10/10/2024
-  author: fbsolo-ms1
-  ms.author: franksolomon
-  ms.reviewer: franksolomon
-  ms.topic: unit
-durationInMinutes: 3
-content: |
-  [!include[](includes/2-detect-correct-data.md)]
-
+### YamlMime:ModuleUnit
+uid: learn.machinelearning.introduction-to-data-for-machine-learning.detect-correct-data
+title: Good, bad, and missing data
+metadata:
+  title: Good, bad, and missing data
+  description: Conceptual unit introducing types of data in machine learning
+  ms.date: 05/21/2025
+  author: fbsolo-ms1
+  ms.author: franksolomon
+  ms.reviewer: franksolomon
+  ms.topic: unit
+durationInMinutes: 3
+content: |
+  [!include[](includes/2-detect-correct-data.md)]
+

learn-pr/azure/introduction-to-data-for-machine-learning/3-exercise-detect-visualize-missing-data.yml

@@ -1,14 +1,14 @@
-### YamlMime:ModuleUnit
-uid: learn.machinelearning.introduction-to-data-for-machine-learning.exercise-detect-visualize-missing-data
-title: Exercise - Visualize missing data
-metadata:
-  title: Exercise - Visualize missing data
-  description: Learn how to detect and visualize missing data.
-  ms.date: 10/10/2024
-  author: fbsolo-ms1
-  ms.author: franksolomon
-  ms.topic: unit
-durationInMinutes: 8
-sandbox: true
-notebook: notebooks/3-3-exercise-detect-visualize-missing-data.ipynb
-
+### YamlMime:ModuleUnit
+uid: learn.machinelearning.introduction-to-data-for-machine-learning.exercise-detect-visualize-missing-data
+title: Exercise - Visualize missing data
+metadata:
+  title: Exercise - Visualize missing data
+  description: Learn how to detect and visualize missing data.
+  ms.date: 05/21/2025
+  author: fbsolo-ms1
+  ms.author: franksolomon
+  ms.topic: unit
+durationInMinutes: 8
+sandbox: true
+notebook: notebooks/3-3-exercise-detect-visualize-missing-data.ipynb
+

learn-pr/azure/introduction-to-data-for-machine-learning/4-examine-data-types.yml

@@ -1,15 +1,15 @@
-### YamlMime:ModuleUnit
-uid: learn.machinelearning.introduction-to-data-for-machine-learning.examine-data-types
-title: Examine different types of data
-metadata:
-  title: Examine different types of data
-  description: Conceptual unit about examining different types of data in machine learning
-  ms.date: 10/10/2024
-  author: fbsolo-ms1
-  ms.author: franksolomon
-  ms.topic: unit
-  ms.reviewer: franksolomon
-durationInMinutes: 4
-content: |
-  [!include[](includes/4-examine-data-types.md)]
-
+### YamlMime:ModuleUnit
+uid: learn.machinelearning.introduction-to-data-for-machine-learning.examine-data-types
+title: Examine different types of data
+metadata:
+  title: Examine different types of data
+  description: Conceptual unit about examining different types of data in machine learning
+  ms.date: 05/21/2025
+  author: fbsolo-ms1
+  ms.author: franksolomon
+  ms.topic: unit
+  ms.reviewer: franksolomon
+durationInMinutes: 4
+content: |
+  [!include[](includes/4-examine-data-types.md)]
+

learn-pr/azure/introduction-to-data-for-machine-learning/5-exercise-normalize-data-predict-missing-values.yml

@@ -1,15 +1,15 @@
-### YamlMime:ModuleUnit
-uid: learn.machinelearning.introduction-to-data-for-machine-learning.exercise-normalize-data-predict-missing-values
-title: Exercise - Work with data to predict missing values
-metadata:
-  title: Exercise - Work with data to predict missing values
-  description: Exercise unit about predicting missing values in machine learning
-  ms.date: 10/10/2024
-  author: fbsolo-ms1
-  ms.author: franksolomon
-  ms.topic: unit
-  ms.reviewer: franksolomon
-durationInMinutes: 8
-sandbox: true
-notebook: notebooks/3-5-exercise-normalize-data-predict-missing-values.ipynb
-
+### YamlMime:ModuleUnit
+uid: learn.machinelearning.introduction-to-data-for-machine-learning.exercise-normalize-data-predict-missing-values
+title: Exercise - Work with data to predict missing values
+metadata:
+  title: Exercise - Work with data to predict missing values
+  description: Exercise unit about predicting missing values in machine learning
+  ms.date: 05/21/2025
+  author: fbsolo-ms1
+  ms.author: franksolomon
+  ms.topic: unit
+  ms.reviewer: franksolomon
+durationInMinutes: 8
+sandbox: true
+notebook: notebooks/3-5-exercise-normalize-data-predict-missing-values.ipynb
+