Thanks for the reference!
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.…
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…
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…
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…
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 year. It's probably safe to assume that…
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,…
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…
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…
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.…
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…
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…
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 what way would you automate their…
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…
As someone just now getting into the basics of NLP, thank you for this brief summary.
Thanks for the reference!
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.…
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…
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…
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…
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 year. It's probably safe to assume that…
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,…
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…
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…
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.…
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…
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…
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 what way would you automate their…
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…
As someone just now getting into the basics of NLP, thank you for this brief summary.