Merge pull request #95328 from TonyXing/TonyXing-patch-1

Tony xing patch 1

Author: v-albemi

articles/cognitive-services/Anomaly-Detector/index.yml

@@ -36,7 +36,11 @@ landingContent:
           url: https://www.youtube.com/embed/ERTaAnwCarM
     - linkListType: reference
       links:
-        - text: Algorithms used in anomaly detection (whitepaper)
+        - text: Introducing Azure Anomaly Detector API
+          url: https://techcommunity.microsoft.com/t5/AI-Customer-Engineering-Team/Introducing-Azure-Anomaly-Detector-API/ba-p/490162
+        - text: Overview of SR-CNN algorithm
+          url: https://techcommunity.microsoft.com/t5/AI-Customer-Engineering-Team/Overview-of-SR-CNN-algorithm-in-Azure-Anomaly-Detector/ba-p/982798  
+        - text: Algorithm used in anomaly detection (KDD paper)
           url: https://arxiv.org/abs/1906.03821
 
 - title: "Detect anomalies in your data"
@@ -52,7 +56,7 @@ landingContent:
         - text: Visualize anomalies using batch detection and Power BI
           url: tutorials/batch-anomaly-detection-powerbi.md
         - text: Detect Anomalies in streaming data using Azure Databricks
-          url: tutorials/batch-anomaly-detection-powerbi.md
+          url: tutorials/anomaly-detection-streaming-databricks.md
     - linkListType: video
       links:
         - text: Anomaly detection on streaming data using Azure Databricks

articles/cognitive-services/Anomaly-Detector/overview.md

@@ -67,7 +67,7 @@ After signing up:
 
 ## Algorithms
 
-* Please refer to this technical blog [Introducing Azure Anomaly Detector API](https://techcommunity.microsoft.com/t5/AI-Customer-Engineering-Team/Introducing-Azure-Anomaly-Detector-API/ba-p/490162) about the algorithms under the hood.
+* Please refer to technical blogs [Introducing Azure Anomaly Detector API](https://techcommunity.microsoft.com/t5/AI-Customer-Engineering-Team/Introducing-Azure-Anomaly-Detector-API/ba-p/490162) and [Overview of SR-CNN algorithm in Azure Anomaly Detector](https://techcommunity.microsoft.com/t5/AI-Customer-Engineering-Team/Overview-of-SR-CNN-algorithm-in-Azure-Anomaly-Detector/ba-p/982798) about the algorithms under the hood.
 * Please refer to this paper [Time-Series Anomaly Detection Service at Microsoft](https://arxiv.org/abs/1906.03821) (accepted by KDD 2019) for the cutting-edge SR-CNN algorithms developed by Microsoft.
 
 > [!VIDEO https://www.youtube.com/embed/ERTaAnwCarM]

articles/cognitive-services/Anomaly-Detector/toc.yml

@@ -62,6 +62,18 @@
           href: https://go.microsoft.com/fwlink/?linkid=2090370
         - name: Node.js
           href: https://go.microsoft.com/fwlink/?linkid=2090788
+    - name: Technical blogs
+      items:
+        - name: Introducing Azure Anomaly Detector API
+          href: https://techcommunity.microsoft.com/t5/AI-Customer-Engineering-Team/Introducing-Azure-Anomaly-Detector-API/ba-p/490162
+        - name: Overview of SR-CNN algorithm 
+          href: https://techcommunity.microsoft.com/t5/AI-Customer-Engineering-Team/Overview-of-SR-CNN-algorithm-in-Azure-Anomaly-Detector/ba-p/982798
+    - name: Demo
+      items:
+        - name: Interactive demo
+          href: https://aka.ms/adDemo
+        - name: On Jupyter Notebook
+          href: https://aka.ms/adNotebook      
     - name: Paper on SR-CNN in KDD 2019
       href: https://arxiv.org/abs/1906.03821
 - name: Resources

articles/cognitive-services/Anomaly-Detector/user-generated-content.md

@@ -14,22 +14,15 @@ ms.author: aahi
 ---
 # Featured User-generated content for the Anomaly Detector API
 
-Use this article to discover how other customers are thinking about and using the Anomaly Detector API. The following resources were created by the community of Anomaly Detector users. They include technical blogs, open-source projects, and other contributions created by both Microsoft and third-party users. 
+Use this article to discover how other customers are thinking about and using the Anomaly Detector API. The following resources were created by the community of Anomaly Detector users. They include open-source projects, and other contributions created by both Microsoft and third-party users. 
 Some of the following links are hosted on websites that are external to Microsoft and Microsoft is not responsible for the content there. Use discretion when you refer to these resources.
 
-## Demos
-
-* [Interactive demo with animation](https://aka.ms/adDemo)
-* [Azure Notebook demo](https://aka.ms/adNotebook)
-
 ## Technical blogs
 
-* [Introducing Azure Anomaly Detector API](https://techcommunity.microsoft.com/t5/AI-Customer-Engineering-Team/Introducing-Azure-Anomaly-Detector-API/ba-p/490162)
 * [Trying the Cognitive Service: Anomaly Detector API (in Japanese)](https://azure-recipe.kc-cloud.jp/2019/04/cognitive-service-anomaly-detector-api/)
 
 ## Open-source projects
 
-* [Official code samples for the Anomaly Detector API and SDK](https://github.com/Azure-Samples/AnomalyDetector)
 * [Jupyter notebook demonstrating Anomaly Detection and streaming to Power BI](https://github.com/marvinbuss/MS-AnomalyFinder)
 
 If you'd like to nominate a resource, fill [a short form](https://forms.office.com/Pages/ResponsePage.aspx?id=v4j5cvGGr0GRqy180BHbRxSkyhztUNZCtaivu8nmhd1UMENTMEJWTkRORkRGQUtGQzlWQ1dSV1JLTS4u).