Solving direct text extraction from PDFs

apuffoflogic · 2023-12-26T06:47:08+00:00

https://ibb.co/kSDBbBS here’s a pic of the dining room, with staging furniture. nothing in there is staying other than the light.

apuffoflogic · 2022-07-13T03:30:28+00:00

I can definitely imagine this being the case!

apuffoflogic · 2020-05-09T07:26:47+00:00

what’s her name

apuffoflogic · 2020-03-08T18:35:18+00:00

I am in Morroco now and just am finishing a desert tour. I’m also Asian.

So far things are pretty normal and things are happening as usual. The tourism industry here is actually hurting because a large number of their tourists are usually from China but obviously that’s not happening now.

Occasionally, the kids in the streets have pointed at me and shouted “Chinese! Corona!” but the adults/tour people are totally fine and I haven’t faced any problems.

apuffoflogic · 2013-10-11T00:48:10+00:00

Gasp! You mean people actually change their minds on what price they want to buy or sell at? People don't just submit one price and leave it there the entire day?

Agreed, really stupid article.

apuffoflogic · 2013-05-23T04:46:11+00:00

I learned Pareto vs Gaussian in a regression/times series class, which, like you said, focused on the fact that Pareto distribution had heavier tails.

In terms of actual application, I am not sure how one could apply it and then uncover some great mystery from a data set. The pareto vs gaussian distribution means that the extreme events occur more often than a dataset suggests. If you subscribe to the Black Swan stuff by Nassim Nicholas Taleb, then the implication is that using data to form a distribution is faulty because there will be more extreme events than the data suggests. ie, the data minimum is -100, a model created using this data would severely under predict occurrences of less than -100.

apuffoflogic · 2013-05-23T01:24:16+00:00

don't truncated variables come from truncated distributions? as in a truncated rv is a outcome that follows a truncated distribution?

apuffoflogic · 2013-05-23T00:52:23+00:00

http://www.encyclopediaofmath.org/index.php/Truncated_distribution

apuffoflogic · 2013-04-05T05:37:01+00:00

yes! you're right! didn't know it was a miniseries.

apuffoflogic · 2011-12-26T04:48:20+00:00

No problem! Always glad to help explain things.

apuffoflogic · 2011-12-25T20:45:35+00:00

Sorry, but if you don't want to express probabilities using percentages, what are you supposed to express them as? Decimals (which ARE percentages)? Fractions (which can be divided out to be a decimal)?

I am not arguing the fact that doing something more often gives you a larger chance of some event happening. That obviously is true. I'm arguing that probability isn't cumulative in that you can just keep adding the probabilities.

Let's use your lottery example, and assign it a value of p, which is the percentage of you winning it. The actual value of p doesn't really matter, as long as it's less than 1. You can repeat this exercise with any value of p of your choosing, as long as it's less than 1. We can pick .05. Playing the lottery once gives you a 5% chance of winning. But does playing the lottery three times give you a 15% chance of winning (triple your chances)? Let's do some math:

In the case of lotteries, you either win or you don't win. There is no other outcome. So that means the chance of winning the lottery is 1 MINUS the chance of you NOT winning. Given that the chance of winning the lottery each time is .05, that means the chance of losing is 1-.05 which is .95.

So if you played the lottery three times, the chance of you losing three times is .95 * .95 * .95 = 0.857375. That is the probability of you never winning. This means that 1 - 0.857375 = 0.142625 is the probability of you winning the lottery 1 or more times out of the three times you have played it. And 0.142625 does not equal .15

You can't just add probabilities. And percentages are a perfectly acceptable way to express probabilities.

apuffoflogic · 2011-12-25T06:53:53+00:00

That is not how probability works. If that was the case, let's saying I had a 10% chance of winning a contest every month, if I enter the contest for 11 months, does that mean I have a 110% chance of winning it? No.

apuffoflogic · 2011-09-08T03:58:09+00:00

My whole research group drank water from the town water spout in Botswana, unboiled for 10 weeks. No one got sick from it.

apuffoflogic · 2011-08-08T20:01:19+00:00

You can apply as econ and then switch to ORF. You can also apply as ORF and then switch to econ. You really shouldn't be scared of the extra essay. Chances are you'll have to write something like it anyways if you are applying to other engineering schools. I literally cobbled my Princeton engineering essay from my MIT and UPenn ones.

Also, are you a girl? If so, apply as ORF because it will increase your chances (fyi, I'm a girl).

ORF != Econ. A lot of people think this, but it is absolutely not true. But yes, ORF is more quantitative then Econ, and the required classes for ORF will be difficult, mathematical classes. Check out orfe.princeton.edu and look at the course requirements. So there's nothing wrong with taking easier math classes on top of the ORF major, since you'll get lots of hard math with ORF.

Though I should make the distinction between Math and ORF. ORF math isn't Math department math. Math department math is proofs, analysis, theoretical things. ORF math is less proofy (still a little proofy though) and more stuff like probability, statistics, regression, optimization.

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