Summary: In this episode, you'll see how drift in data can be detected using machine learning in the Azure Machine Learning service. Re-Visit Your Favorite Part: [00:21] Introductions[00:45] Quick intro to Datasets in ML[01:15] Data Monitoring overview [04:11] What are we measuring?[05:41] User Interface in Azure ML studio[08:28] How you can run this[10:43] How you can get started Learn More: DocumentationNotebookAzure ML Data OverviewData drift with event gridThe AI Show's Favorite links: Don't miss new episodes, subscribe to the AI Show Create a Free account (Azure) Medium | Francesca Lazzeri Deep Learning vs. Machine Learning Get Started with Machine Learning
