Viewing profile — hoaphumanoid
hoaphumanoid
HN member- Joined
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About hoaphumanoid
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Comment #18942561
thanks for the comment, would this definition be clearer: "Recall at k is the proportion of relevant items found in the top-k recommendations"?
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Comment #18942536
hey one of the authors here. We are planning to create some notebooks on recommendation about recommendation algos :-)
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Comment #15958737
Sometimes the notebook doesn't render, here there is a different option: https://nbviewer.jupyter.org/github/miguelgfierro/sciblog_su...
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Comment #15331462
Miguel Fierro from Microsoft here: Joseph Sirosh session will be broadcasted live at 2.15pm ET in this link: https://myignite.microsoft.com/sessions/56555?source=session...
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Comment #14853866
Yes, it was initially forked from an internal boosted trees library from Microsoft. The guys who created it are Microsoft Research Asia
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Comment #14853846
The LightGBM implementation on GPU is based on this paper: https://arxiv.org/abs/1706.08359 they use several smart techniques to make the computation faster. One is how they create…
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Comment #14853810
In deep learning, the algorithm that is used, back propagation, is basically a chained matrix multiplication, which is good for the GPU structure. However, for boosted trees the op…