Viewing profile — jj12345

Thanks for the reference!

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 desig…

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 deliber…

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 fo…

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 approac…

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 expla…

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 pedago…

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. - S…

Forgot my /s tag for my obnoxious comment :[

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 ye…

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…

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 n…

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 datase…

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 (…

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 fi…

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 abo…

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 th…

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 sele…

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.

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).

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 wh…

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, …

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