- [Instructor] What we're going to do
is focus on setting up a machine learning model
to improve market identification and targeting.
Now, I'm going to be using the Microsoft Azure
Machine Learning Studio so there's nothing to install
because everything's in the cloud
for the studio which is nice.
If you'd like to follow along, all you need
is a browser and an account.
So, I've navigated to studio.azureml.net
and you can sign in once you have your account,
I'm already signed in.
And so this is what you'll see
when you sign in to the studio.
On the left hand side we have a menu
with experiments and web services,
notebooks and data sets.
In this middle pane, this is the area
that really works as a canvas
as we're setting up different experiments,
and then also provides a menu
of different experiments.
So, I've already built a basic model here
for us to take a look at.
So, what are looking at here?
This is our data
and this is included in the exercise files
if you'd like to run your own model.
If I right click on this particular node,
I can go to data set and Visualize
and we can see what we're working with.
We have three different columns.
We have some demographic information
and then we have an overall response code.
And so what this is looking at
is the number of times different consumers
responded to our marketing programs.
We're feeding that data into a split
because what we need to do
is we need to train the data
and then we're going to also need test data
to validate that model.
And so, we're splitting the data here,
we're running that against a regression algorithm,
and then we're training the model.
So, let's go ahead and run it,
and you'll see that what the studio does
is it basically puts these little time frames,
these little clocks, on each piece
as it's working through this overall process.
So, we can see now that our Two-Class Logistic Regression
algorithm has been applied,
we can now see that our data has been split,
and now the model is being trained.
Now, what you just did is you trained the machine.
By feeding it this data
and running it through this algorithm
it creates an understanding of how to predict future data.
In other words, this is the process
that creates the machine learning foundation
for your marketing programs.
So, in this video, you were introduced
to the Azure Machine Learning Studio,
you saw how a model is organized onto the canvas,
and we ran the model so you could see
that overall work flow.
With your own data and with the right model,
what machine learning can do
is predict the right target for your marketing.