Machine learning is an important piece of any Analytics solution. The integration between Synapse and Azure ML promotes a seamless collaboration between data professionals in Synapse and ML professionals in Azure ML. In Synapse Studio, users of all skill levels can leverage ML models built in Azure Machine Learning across their organizations to analyze and enrich data. ​Synapse users can also leverage code free and code experiences to seamlessly train ML models using in Synapse notebooks thanks to automated machine learning powered by Azure Machine Learning. ​The integration between Synapse and Azure ML is making data enrichment through machine learning more accessible to Synapse users, which allows for greater analytics insights.

Jump to:
00:00 Livestream begins
00:22 Seth welcomes Nellie
00:45 What is Azure Synapse Analytics?
03:32 Aggregating different styles of data sources
05:48 ML capabilities in Azure Synapse
11:26 Demo 1: Azure Synapse integration with Cognitive Services
14:55 Demo 2: How to train a model using Auto ML
18:13 Demo 3: Model scoring in Azure synapse SQL pools

For more information:
Getting Started Toolkit [ Ссылка ]
Azure Synapse Automated ML Tutorial [ Ссылка ]
Link an Azure Synapse WS to Azure ML WS [ Ссылка ]
Machine Learning in Synapse [ Ссылка ]
Scoring Tutorial [ Ссылка ]

Create a Free account (Azure) [ Ссылка ]
Deep Learning vs. Machine Learning [ Ссылка ]
Get Started with Machine Learning [ Ссылка ]
Follow Seth [ Ссылка ]

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