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So you guys have worked really
hard on this regression course and

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we've learned a lot of
really important concepts.

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Not only have you learned about regression
models but you've also learned how to use

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them, how to implement them, how to
deploy them in practice and so now with

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this methods, you can go out there and
solve a lot of really important problems.

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And in addition some of
the concepts that we've learned

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are gonna carry over throughout
the rest of the specialization,

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are really foundational
machine learning concepts.

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>> Regression is widely
used in many domains.

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>> Wait, wait.

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I wanted to say, if you missed his
Brazilian accent, Carlos is back.

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Ta dah.

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And he looks so
refreshed after that nice vacation.

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But you'll see a lot more
of him in the next course.

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[LAUGH]
>> [LAUGH]

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So reaction is useful in a wide range

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of occupations from forecasting.

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>> You see how rested he looks?

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[LAUGH]
>> From forecasting how many products

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somebody will buy, to predicting the stock
market so you can be really rich.

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Now the techniques you learn here are
going to allow you to build the kind of

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intelligent applications that really
making a difference in the real world.

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So, we hope to see you in the entire
specialization as we go through

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classifiers, and recommender systems,
and document retrievals,

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all the way to building cool
recommender systems with deep learning.

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>> So, see you soon.

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>> See you soon.

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>> [LAUGH]

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