Published on October 30, 2017 by Google

Hey everyone! Here’s an intro to techniques you can use to represent your features – including Bucketing, Crossing, Hashing, and Embedding – and utilities TensorFlow provides to help. Also included is a walkthrough of using TensorFlow Estimators to classify structured data.

Links from the video:

Code – goo.gl/K9dVqv
Facets: goo.gl/Dfpb7W
TensorFlow Embedding Projector: goo.gl/2SxrYK

You can find Josh on Twitter: twitter.com/random_forests

Thanks, and have fun!

Check out more Machine Learning Recipes here: goo.gl/KewA03
Subscribe to the Google Developers channel: goo.gl/mQyv5L

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66 Comments on "Intro to Feature Engineering with TensorFlow – Machine Learning Recipes #9"

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Harry He
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Harry He
1 month 8 days ago

go on!

Yateen Gupta
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Yateen Gupta
1 month 18 days ago

His plan is to complete the course by year 3017

Goun Na
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Goun Na
1 month 20 days ago

It is very short but every second matters. Seriously well designed well compressed contents. I appreciate Josh Gordon and Google!

Zim O.E
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Zim O.E
1 month 23 days ago

Please keep this series going.

ayushsrivastavaable
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ayushsrivastavaable
2 months 9 days ago

Are there any new videos going to be uploaded in this series ?

asad razanaqvi
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asad razanaqvi
2 months 10 days ago
asad razanaqvi
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asad razanaqvi
2 months 10 days ago
shahid khan021
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shahid khan021
2 months 13 days ago

Is this series over

Sifiso Nkabinde
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Sifiso Nkabinde
2 months 22 days ago

You are back, thanks for the tutorials

Sifiso Nkabinde
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Sifiso Nkabinde
2 months 22 days ago

You are back, thanks for the tutorials

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