[MUSIC]
Okay, so it's a really exciting time to do a machine learning specialization,
because we see machine learning everywhere in our everyday lives.
So for example, Carlos is always on my case that I'm on my phone.
So I turn on my phone and there are a lot of smart applications on here.
And there are things that are personalized to me as a user.
>> And they're all using a machine learning at their core, which is exciting.
Today, every time you go to a website, most likely there's a machine learning
algorithm behind the scenes, analyzing the data, analyzing interactions and
really changing your experience using machine learning.
And we're see that in a wide range of settings.
>> Yeah, so not just on my phone.
One device that Carlos loves is this thing.
>> It's a wearable device.
It tracks my activity.
Analyzes my sleep.
Analyzes my exercise routines.
Helps with what I'm doing.
And really takes the data, understands it,
then helps me look at how my health is evolving over time, which is pretty cool.
>> So that's why it's exciting to think about machine learning now.
But, of course,
there's a lot more that machine learning has the possibility of doing in our lives.
>> You can see the world changing with self-driving cars,
with personalized medicine, with interactive things where
you've got sensors everywhere, with smart systems everywhere.
So in this specialization,
you're going to learn the fundamentals to all of those things.
In fact, after this specialization, you will be future ready, future proof.
>> Future proof.
You'll be futurized.
>> You'll be the future of machine learning.
[LAUGH] >> You are the future.
And that is cool.
>> And that is cool, and
in fact, you are the future because we recorded this in the past.
So it's actually true, and that is also cool.
Clearly Carlos is still watching and reading, mainly watching, too much sci-fi.
>> Yeah, did you see the last...
>> You are in the future.
Welcome. >> Did you see the latest
season of Doctor Who?
Prequel. >> [LAUGH]
>> Anyway.
>> On that note, this is cool.
>> And it's going to be a really cool specialization.
>> You're supposed to say it is cool.
>> It is cool.
>> [LAUGH] >> It's going to be a really
cool specialization.
And let's get started.
[MUSIC]