[MUSIC]
So you guys have worked really hard on this regression course and
we've learned a lot of really important concepts.
Not only have you learned about regression models but you've also learned how to use
them, how to implement them, how to deploy them in practice and so now with
this methods, you can go out there and solve a lot of really important problems.
And in addition some of the concepts that we've learned
are gonna carry over throughout the rest of the specialization,
are really foundational machine learning concepts.
>> Regression is widely used in many domains.
>> Wait, wait.
I wanted to say, if you missed his Brazilian accent, Carlos is back.
Ta dah.
And he looks so refreshed after that nice vacation.
But you'll see a lot more of him in the next course.
[LAUGH] >> [LAUGH]
So reaction is useful in a wide range
of occupations from forecasting.
>> You see how rested he looks?
[LAUGH] >> From forecasting how many products
somebody will buy, to predicting the stock market so you can be really rich.
Now the techniques you learn here are going to allow you to build the kind of
intelligent applications that really making a difference in the real world.
So, we hope to see you in the entire specialization as we go through
classifiers, and recommender systems, and document retrievals,
all the way to building cool recommender systems with deep learning.
>> So, see you soon.
>> See you soon.
>> [LAUGH]
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