From the course: Microsoft Azure Machine Learning Fundamentals
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Azure machine learning in context
From the course: Microsoft Azure Machine Learning Fundamentals
Azure machine learning in context
So we are going to see the technical context, but also the audience is targeted for Azure Machine Learning. And on the left we start with storage products and also some tools to move data. So without doing a deep dive, because that's not the topic of the course, but I want to explain a little bit the different strategies. It's important. This is more a data engineering knowledge. But as data scientists and ML engineers, we are also very interested in understanding the different strategies, the different options that we have. So in terms of storage, as we mentioned previously, the total Azure Machine Learning, of course, is more focused on Azure products. So we can natively connect to the different Azure storage easier. And typically what you would have in an organization doing analytics is a data lake or lakehouse today. So the lakehouse will be based on Azure Data Lake and Azure Data Lake is just another flavor of Azure storage. Basically, Azure storage is a product to store files…
Contents
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Learning objectives25s
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What is Azure machine learning?8m 22s
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Azure machine learning in context7m 44s
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Azure machine learning workspaces3m 47s
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Azure Machine Learning Studio9m 25s
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Leverage the Azure Machine Learning SDK4m 2s
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Demo: Exploring the Azure Machine Learning designer13m 28s
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Lab: Running experiments with SDK6m 43s
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