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Talking Machines: Automatic Translation and t-SNE, with Hal Daume

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08 July 2016



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Reuters dataset (in 2D) landmark t-SNE using semantic hashing. Source: vdmaaten.github.io/tsne

Reuters dataset (in 2D) landmark t-SNE using semantic hashing. Source: vdmaaten.github.io/tsne

In episode thirteen of season two, we talk about t-Distributed Stochastic Neighbor Embedding (t-SNE), take a listener question about statistical physics, plus, speak with Hal Daume of the University of Maryland (who is great to follow on Twitter).


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Talking Machines is your window into the world of machine learning.
Talking Machines is your window into the world of machine learning.





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