Machine Learning Experiences in Azure Synapse

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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:

  1. Microsoft Developer
  2. Microsoft
  3. Developer
  4. Azure ML
  5. Azure Synapse
  6. Machine learning
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Комментарии
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Thank you for taking time and explaining about Azure ML with Synapse integration. Excellent demo

fashionstyle
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So basically if I know sql and python, then I can learn to use synapse analytics to build end to end data project?
Just only 2 languages?

norpriest
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Can we register ML models from synapse(trained using spark) into azure machine learning for management?

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