jj12345

7 ms·

1. 1.▲
   by jj12345 7y ago

   Thanks for the reference!
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   by jj12345 7y ago

   Not sure if you'd be willing, but I'd love a quick rundown of the high level takeaways if you'd be willing to drop them here. Are you talking about more than one experimental design in terms of comparing the exp/control
3. 3.▲
   by jj12345 8y ago

   Can you speak to how useful you've found the pattern/paradigm? Sort of an ambiguous question, but I've sat through some intro Rx stuff at Microsoft seminars and I've yet to deliberately reference it when writing code. Th
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   by jj12345 8y ago

   This is done occasionally in algo books to encourage their adoption in cirricula (e.g. Dasgupta, etc.). As a sibling comment mentions, it's relatively easy to verify your answer for correctness in some cases. The downside of this is th
5. 5.▲
   by jj12345 8y ago

   These are good questions, but I'd also be curious to hear of some more concrete examples. In the interest of continuing the discussion, OP might be referring to some hybrid approaches like Backbone/Knockout where they aren't
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   by jj12345 8y ago

   I'm just now starting to crack open some Lisp tutorials, coming from the OOP side of the fence, so please excuse the ignorance. For my learning purposes, would you be open to explaining how symbolic expressions would circumvent the nee
7. 7.▲
   by jj12345 8y ago

   In addition to the scarcity of what I'd call "deep dive" materials, companies like Facebook and Google are frequently trying to encourage platform adoption. MOOCs for purely pedagogical reasons are sometimes hard to find in M
8. 8.▲
   by jj12345 8y ago

   Definitely biased, but here are some anecdotes/thoughts: - I've found the rigor to be significantly more than most MOOCs, inline with other traditional grad courses I've taken. - Some classes are hybrid, sharing the term with
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   by jj12345 8y ago

   Forgot my /s tag for my obnoxious comment :[
10. 10.▲
    by jj12345 8y ago

    I'm not sure what you mean. If you simply take the chapter titles and google them, you end up at Head First Python [1], which seems like a great book that doesn't require $250 a year. It's probably safe to assume that this wa
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    by jj12345 8y ago

    Thanks for sharing this video. When she's discussing Compensations she mentions that the Transaction (T_i) can't have an input dependency on T_i-1. What are some things I should be thinking about when I have hard, ordered dependen
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    by jj12345 8y ago

    I'm a fan of Kibana, but AnyChart does support some more templates (not that you couldn't accomplish the same chart in either). There's a million of these visualization libraries now and it seems like all of them are basicall
13. 13.▲
    by jj12345 9y ago

    To the first point, the paper mentions that "the covariance is calculated after applying the Gaussian Copula to that table". The experiments seem to conclude that, for their datasets, the 2D projections seem to work alright. I thi
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    by jj12345 9y ago

    Just finished the paper, so let me take a stab: Peeling back the mystery a bit, what is happening is: 1. From each child table upwards, model each column as a simple distribution (e.g. Gaussian) and covariance matrix. 2. Given those child t
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    by jj12345 9y ago

    To add to this answer: the methods outlined in the paper allow for perfect reconstruction of the underlying data in many cases, as the simulation of data is simply sampling from fitted distributions.
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    by jj12345 9y ago

    Thanks, these are great responses! Also, I apologize for not fixing my own formatting sooner, which makes the questions almost impossible to read. You answered my last question about stochastic traces by explaining the de/activation fu
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    by jj12345 9y ago

    Thanks for the paper link! I've been digging into PAC learning so I'm taking anything I can get. On the paper, I was hoping you could help me understand a few things: - It seems that the main finding is that any k-CNF form, like T
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    by jj12345 9y ago

    Maybe an expert will chime in here, but I recall learning that several concepts in ML are derived from or in parallel to the BIC. Many use feature AIC/BIC measures for feature selection. On a separate note, AIC/BIC are prevalent i
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    by jj12345 9y ago

    It's a hard problem. One person's scam is another person's business opportunity. I, for one, want to learn more about this amazing spell-casting.
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    by jj12345 9y ago

    I was looking at this as well, but I'm willing to suspend my disbelief because the normal vaguely looks like it has a good deal of information (in a basic fidelity sense).
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    by jj12345 9y ago

    As someone going into the field, can you explain what this means? Specifically, I'd assume we're trying to isolate some outliers that are causing a funky bias in the learner. In what way would you automate their discovery (what do
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    by jj12345 10y ago

    Thanks for the nice, condensed article. Generating features from BeautifulSoup isn't something that I've considered before. I'm still going through Yoshua Bengio's new book on DL, but if anyone is free to comment: what a
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    by jj12345 10y ago

    As someone just now getting into the basics of NLP, thank you for this brief summary.