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DL has caveats just like any other model. Just because I feel like this still needs to be said and there more times, the better.
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Hi,
I discussed with Romain (and other people) at the Single Cell Genomics conference whether it is possible to create a factor analysis version of scVI. The idea would be to let the variational in…
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I am extending all chapters with a section for software implementations and to alternative algorithms (also with software implementation). The software can be any free and open source software: R, Pyt…
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# Putting the VM in TVM: The Relay Virtual Machine
We have previously introduced Relay, a new program representation, which is able to represent and optimize a greater breadth of machine learning…
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This project aims to predict real estate values in Manhattan using data from the New York City Department of City Planning. The resulting models will be used to estimate asset values for real estate c…
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From [ROPE article](https://easystats.github.io/bayestestR/articles/region_of_practical_equivalence.html):
> However, keep in mind that unlike indices of effect existence (such as the pd), indices of…
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I conducted a dummy variable regression based on [this page](
https://bashtage.github.io/linearmodels/doc/panel/examples/examples.htm), using `linearmodels (PooledOLS)` and `statsmodels` with the sa…
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* Have you looked into ways to explain regression models using Anchors? Would binning help in this case?
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Hi, I would have a couple of more questions on the KernelExplainer:
(1) Are there compelling (analytical) reasons why one should or should not use the full training set as background for the Kernel…
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Hello guy, i am studying Face Recognition.
And i red this blog post: https://sefiks.com/2018/08/06/deep-face-recognition-with-keras/
I try to make it, and it works. But i still have a few question…