mendicantB

6 ms·

1.
by mendicantB 10y ago
Hope it was helpful. It's unclear what you t-tested here. Ideally, you would test for difference between groups of "Is there a difference in number of endorsements between people who got a "yes" in advancing to the next
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by mendicantB 10y ago
First 200 pages https://www.amazon.com/All-Statistics-Statistical-Inference-...
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by mendicantB 10y ago
If you breakup the plot by any number of categories of technical ability, then there are trends. But to your question, what I was suggesting was that the aggregations done, especially with categorical data that is averaged, are very suscept
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by mendicantB 10y ago
Your analysis is extremely flawed. I really appreciate your sharing the data with us and I like your service. But, this is a poorly done and a far from subtle plug of your business at the cost of LinkedIn. 1) Technical ability vs # of endor
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by mendicantB 10y ago
World class engineers (especially data eng) who built some amazing open source things, but internally was a mess. The reason LinkedIn is a terrible product is because it was mired internally by chronically poor engineering leadership and pr
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by mendicantB 10y ago
Looks awesome, are you hiring data scientists?
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NASA's Ames Research Center 75th Anniversary Open House(nasa.gov)
2 points by mendicantB 12y ago|0 comments
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by mendicantB 12y ago
This is how you train soldiers. Some aren't cut out to follow.
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by mendicantB 12y ago
Honestly, the paper wasn't bad, but I'm shocked they let this article get out. Combine the author's incredibly poor understanding,shit link bait headline, and baseless article with ZERO results or novelty and this is 10 minut
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by mendicantB 12y ago
Fair enough. Otherwise, does that help shed any light on this side? Thoughts?
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by mendicantB 12y ago
No, you just had a bad point that you'll come to realize if you ever have to manage a team or company. More often than not, you outsource items that are not the highest value projects your resources could be spent on. Or, you simply ca
12.
by mendicantB 12y ago
Bingo. More data beats better algorithms, see http://anand.typepad.com/datawocky/2008/03/more-data-usual.h...
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by mendicantB 12y ago
That's another good point. The required computing power that is now cheap and widely available has changed our ability to even try these methods.
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by mendicantB 12y ago
Every model's output quality is dependent on the quantity of data it ingests. Statistics developed as a science because of the need to overcome the weakness of large samples being expensive. Machine learning has taken off as a direct r
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by mendicantB 12y ago
They do [1], but not as often as you expect. Most games don't actually use AI, as the goal is to make in game characters appear intelligent, rather than actually being so. [1] http://www.sauropodstudio.com/dev-diary-num
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by mendicantB 12y ago
Facebook. See http://www.quora.com/For-top-technology-companies-what-of-th...
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by mendicantB 12y ago
Looks really awesome, I'll await it's arrival.
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by mendicantB 12y ago
What I've learned in the months since is that in order to overcome the panic and anxiety you have to do something very simple yet seemingly incredibly difficult; you have to let it happen. Let the panic wash over you I must not fear.
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by mendicantB 12y ago
Thanks for the tip, I don't think I can change it now (correct me if I'm wrong), and will keep this in mind for future submissions.
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2009, SF is the worst run big city, has anything changed?(sfweekly.com)
2 points by mendicantB 12y ago|2 comments
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by mendicantB 12y ago
In the same aggressive tone you're holding towards the article, you probably should have read the publication before criticizing the experiment. Quick lesson on pharmaceutical studies: they are extremely expensive and often can only ha
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by mendicantB 12y ago
I believe you are repeating what I said (?). All of the algorithms have different methods of arriving to an objective function and leveraging it's results. Yet, most share the same problem in terms of optimizing it, and yes, most choos
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by mendicantB 12y ago
Copped out when called out. Deleted comment said GAs were bad search algos and tend to get stuck at local minima.
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by mendicantB 12y ago
This is not a good generalization. I've usually only seen this issue with optimization problems when: 1) You haven't played with parameters 2) Implementation is not correct (usually the case with genetic algos, since it requires a
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by mendicantB 12y ago
+1 I'd also add that genetic algorithms are for optimization, and can't really be compared with most of the algorithms in that chart. It'd be a sub-level where different optimization techniques for finding model weights, for
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by mendicantB 12y ago
You're correct. It isn't different. Simpsons paradox is actually a key indicator of a confounding variable.
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by mendicantB 12y ago
The post was hardly worth writing in the first place. This is extremely standard social network (or internet company) practice. The privacy concerns of just giving a massive dump of all that data are very complex. Given that, it's incr
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by mendicantB 12y ago
"Collect them all where it makes the most sense. If that’s iCloud, Google Contacts, Outlook.com or heck, even FullContact, great" Completely discredit your post why don't yah?
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by mendicantB 12y ago
My thoughts exactly. He's completely blind.
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by mendicantB 12y ago
This

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