WEBVTT

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>> Francesca's introduction to

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AutoML really made me want to
try Azure Machine Learning.

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If you'd like to
follow along with me,

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make sure that you have

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an active Azure subscription
so that you can.

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There are some getting
started docs for

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Azure ML linked both in the
description down below,

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and here on the screen.
Let's get started.

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I already have an Azure
Pay-As-You-Go subscription,

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so all I need to do is create
a Machine Learning resource.

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Now, I happen to see it
right here on my homepage,

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but if you don't see it there,

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you can click on "Create a Resource"
and search Machine Learning.

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This should be a fairly
simple form to fill out.

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We'll click "Create", give this
workspace a name like, DevIntroDS.

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Make sure I'm on my
Pay-As-You-Go subscription.

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I'm going to create a new
resource group for this project,

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so I'll call this
DevIntroDS_ResourceGroup.

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I'm going to choose a
location that's closer to me,

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I happen to be on the West Coast,

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so I'll choose West US.

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I will choose Enterprise
for my workspace edition,

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so that I have access
to all of the features.

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Click "Create" and I'll give this
a few minutes to get started.

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Notice in the top right,

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I get some notifications
on the process.

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In the center here,

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I will also see all of the
additional resources that are

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being created as a part of this
Machine Learning resource.

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Once this is completed,

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I can click on "Go to Resource"

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and I'll be taken to the
"Overview Page" which

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has all of the information
that I'll need for

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connecting this Machine Learning
resource to Visual Studio Code.

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I'm going to leave this
page open for reference.