Update README.md

Author: robmarkcole

README.md

@@ -2384,7 +2384,7 @@ An overview of the most relevant services provided by AWS, Google and Microsoft.
 * [ShipDetection](https://github.com/microsoft/ShipDetection) -> use the Azure Custom Vision service to train an object detection model that can detect and locate ships in a satellite image
 * [SwimmingPoolDetection](https://github.com/retkowsky/SwimmingPoolDetection) -> Swimming pool detection with Azure Custom Vision
 * [Geospatial analysis with Azure Synapse Analytics](https://docs.microsoft.com/en-us/azure/architecture/industries/aerospace/geospatial-processing-analytics) and [repo](https://github.com/Azure/Azure-Orbital-Analytics-Samples)
-* [AIforEarthDataSets](https://github.com/microsoft/AIforEarthDataSets) -> Notebooks and documentation for [AI-for-Earth](https://www.microsoft.com/en-us/ai/ai-for-earth) managed datasets on Azure
+* [AIforEarthDataSets](https://github.com/microsoft/AIforEarthDataSets) -> Notebooks and documentation for AI-for-Earth managed datasets on Azure
 
 # Deploying models
 This section discusses how to get a trained machine learning & specifically deep learning model into production. For an overview on serving deep learning models checkout [Practical-Deep-Learning-on-the-Cloud](https://github.com/PacktPublishing/-Practical-Deep-Learning-on-the-Cloud). There are many options if you are happy to dedicate a server, although you may want a GPU for batch processing. For serverless use AWS lambda.