From the course: Microsoft Azure Data Scientist Associate (DP-100) Cert Prep

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Use automated machine learning for tabular data

Use automated machine learning for tabular data - Azure Tutorial

From the course: Microsoft Azure Data Scientist Associate (DP-100) Cert Prep

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Use automated machine learning for tabular data

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- [Instructor] Let's get started with AzureML automated machine learning. The idea here is that you can automatically train and tune a model using a target metric. So let's go ahead and take a look here at this start job here. What I'm going to do is I'm going to create a new automated machine learning job. Here we go. And you can see that there's a workflow of step one, select data asset. Step two, configure a job, three, select task and settings, four, hyper parameter configuration if you're going to do a computer vision problem, and then validate and test. So in this case, I already have a data asset that I can use. Or if I wanted to, I could create a new data asset. Let's go ahead and do it from the beginning though, so we can see the steps. I'm going to say MLB2 and we'll call this major league baseball stats for height and weight. Here we go. And if I go next, one of the things that we can select is where is the source from? So it could be from your Azure storage, local files…

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