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[MUSIC]

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Okay, so it's a really exciting time to
do a machine learning specialization,

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because we see machine learning
everywhere in our everyday lives.

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So for example, Carlos is always
on my case that I'm on my phone.

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So I turn on my phone and there
are a lot of smart applications on here.

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And there are things that
are personalized to me as a user.

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>> And they're all using a machine
learning at their core, which is exciting.

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Today, every time you go to a website,
most likely there's a machine learning

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algorithm behind the scenes, analyzing
the data, analyzing interactions and

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really changing your experience
using machine learning.

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And we're see that in
a wide range of settings.

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>> Yeah, so not just on my phone.

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One device that Carlos
loves is this thing.

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>> It's a wearable device.

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It tracks my activity.

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Analyzes my sleep.

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Analyzes my exercise routines.

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Helps with what I'm doing.

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And really takes the data, understands it,

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then helps me look at how my health is
evolving over time, which is pretty cool.

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>> So that's why it's exciting to
think about machine learning now.

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But, of course,

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there's a lot more that machine learning
has the possibility of doing in our lives.

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>> You can see the world
changing with self-driving cars,

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with personalized medicine,
with interactive things where

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you've got sensors everywhere,
with smart systems everywhere.

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So in this specialization,

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you're going to learn the fundamentals
to all of those things.

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In fact, after this specialization,
you will be future ready, future proof.

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>> Future proof.

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You'll be futurized.

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>> You'll be the future
of machine learning.

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[LAUGH]
>> You are the future.

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And that is cool.

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>> And that is cool, and

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in fact, you are the future because
we recorded this in the past.

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So it's actually true,
and that is also cool.

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Clearly Carlos is still watching and
reading, mainly watching, too much sci-fi.

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>> Yeah, did you see the last...

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>> You are in the future.

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Welcome.
>> Did you see the latest

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season of Doctor Who?

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Prequel.
>> [LAUGH]

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>> Anyway.

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>> On that note, this is cool.

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>> And it's going to be
a really cool specialization.

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>> You're supposed to say it is cool.

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>> It is cool.

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>> [LAUGH]
>> It's going to be a really

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cool specialization.

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And let's get started.

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[MUSIC]