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@ -234,6 +234,21 @@ Each day I take one subject from the list below, read it cover to cover, take no
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- [ ] [cmusatyalab/openface: Face recognition with deep neural networks.](https://github.com/cmusatyalab/openface)
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- [ ] [tensorflow/models/syntaxnet: Neural Models of Syntax.](https://github.com/tensorflow/models/tree/master/syntaxnet)
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## Podcasts
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- ### Podcasts for Beginners:
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- [Talking Machines](http://www.thetalkingmachines.com/)
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- [Linear Digressions](http://lineardigressions.com/)
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- [Data Skeptic](http://dataskeptic.com/)
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- [This Week in Machine Learning & AI](https://twimlai.com/)
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- ### "More" advanced podcasts
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- [Partially Derivative](http://partiallyderivative.com/)
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- [O’Reilly Data Show](http://radar.oreilly.com/tag/oreilly-data-show-podcast)
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- [Not So Standard Deviation](https://soundcloud.com/nssd-podcast)
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- ### Podcasts to think outside the box:
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- [Data Stories](http://datastori.es/)
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## Communities
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- ### Quora
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- [Machine Learning](https://www.quora.com/topic/Machine-Learning)
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ZuzooVn
8 years ago