From the course: Microsoft Azure Data Scientist Associate (DP-100) Cert Prep: 4 Implement Responsible Machine Learning
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Apply Machine Learning Operations (MLOps) practices - Azure Tutorial
From the course: Microsoft Azure Data Scientist Associate (DP-100) Cert Prep: 4 Implement Responsible Machine Learning
Apply Machine Learning Operations (MLOps) practices
- [Instructor] Azure Open Datasets are a great place to start when you're building out services inside of Azure Machine Learning Studio. Let's take a look at the overall diagram of how it works. Really, they're building blocks. So for model training, you can actually use Azure Machine Learning Studio to work with Open Datasets. You can also use Azure Databricks. You can play around with them on virtual machines. You can also explore the data with things like Power BI. If we go down to the infrastructure here and we look at the Open Datasets service, you can see that it's a curated format that is available through an API. You also can pull the raw data as well if you need to and you could even refer to it as a REST API. Some good examples of a public dataset would be the NOAA dataset. So let's go ahead and take a look at the official documentation real quick. If we go to Azure Open Datasets here, one of the really…
Contents
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Configure compute for a batch deployment2m 11s
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(Locked)
Deploy a model to a batch endpoint4m 2s
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Test a real-time deployed service4m 23s
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Apply Machine Learning Operations (MLOps) practices4m 32s
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Trigger an Azure Machine Learning pipeline, including from Azure DevOps or GitHub2m 36s
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(Locked)
Conclusion1m 6s
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