closed

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by closed 9y ago
A few years ago Anaconda helped overcome install issues with some packages, but I almost never run into those problems anymore. One thing to be aware of is that Anaconda modifies various Jupyter configs / installs some of its own kerne
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by closed 9y ago
Glad to hear! As I was typing away at python the other day, the thought occurred to me that Guido (and every python contributor) have had an eerily strong impact on my day-to-day life.
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Interviews with the likes of Jake VanderPlas, Robert Change (AirBnB), Emily Robinson (Etsy), Claudio Perlich (DStillery). itunes link in case it's useful: https://itunes.apple.com/us/podcast/dataframed/id
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DataFramed – A DataScience Podcast(soundcloud.com)
2 points by closed 9y ago|1 comments
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by closed 9y ago
I would think about which of these you see yourself doing more.. * statistical methods (more math) * big, in-production model fitting (more python) * quick, scrappy data analyses for internal use (more R) For example, I would feel weird wri
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by closed 9y ago
I disagree, even though python is the language I do most of my development in. But it probably depends on the problems we're thinking of a data scientist solving. If you're doing a lot of work with matrices, model fitting in produ
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by closed 9y ago
I don't know a lot about the topic, but remember this article called "The effect of sexual arousal on sexual decision making", by Dan Ariely http://www.contrib.andrew.cmu.edu/~gl20/GeorgeLoewenstein/
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by closed 9y ago
It seems like you might enjoy the article Stupid Tutoring Systems, Intelligent Humans! It talks about some less commonly thought of factors (e.g.emotional) that are important for teaching processes. http://www.columbia.edu/~
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by closed 9y ago
That's fair--it sounds like you're saying a person receiving criticism should be resilient to that criticism to some extent. I'm interested in hearing what you think the solution (if any) is for the person giving the criticis
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When I see you use "That's patronizing", I feel conflicted because it seems to be in the same evaluative style as "That's sad". I am not sure if it's constructive to use a style being criticized against a
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by closed 9y ago
Thanks for sharing this! Vim is the kind of tool I use all the time, but never check for new features. Will definitely use :terminal all the time now :). (For anyone interested, it looks like only more recent releases of vim 8 have :termina
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by closed 9y ago
I just wear wireless headphones and tidy my room during big meetings. It's still easy to pay attention, and takes care of feeling restless during irrelevant parts. In a sense, being in the conference room is asking people to be (ostens
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by closed 9y ago
You hit on a lot of important points. The key here is that they are making a claim about memory, a psychological construct, that is being represented by some of their measures (batteries). But their batteries also purport to measure other p
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by closed 9y ago
I agree with the other commenter, and Gelman's blog is a good place to start. There are very clear, concrete statistical arguments, but they are difficult to summarize in the comments section of HN. The gist is like this. Imagine that
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by closed 9y ago
That's a good point. After having seen much of the brain training literature (especially its early studies), this wouldn't surprise me at all.
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by closed 9y ago
No, statistical power as a concept is independent of the observed result of a test. It is widely misunderstood though, so often people try to use an observed result to justify low power. http://andrewgelman.com/2017/08&
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> The power is only relevant when you fail to detect an effect. This is simply not true. It is sometimes called the fallacy of "what does not kill my statistical significance makes it stronger”. See http://andrewgelman.co
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When a small sample size produces a big effect, it does not mean you can be more confident in the effect! All things equal, you'd expect confidence intervals / credible regions to be very large. Another way to say this, is that si
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by closed 9y ago
Based on a recommendation from HN, I switched to fastmail.com. I create aliases for most new services I sign up for, and treat the actual email address like a secret. Being able to "turn off" annoying services is a delight!
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by closed 9y ago
Could you give an example where you've seen someone use the word "journalist" when you think they should have been using "whore"?
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by closed 9y ago
They only highlight the problem (underestimation of skill), and its interaction with current skill level. But that doesn't mean a person's sense of their skill level couldn't be corrected. This is exactly what one-on-one expe
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by closed 9y ago
I'll have to look more closely at the paper, but am very surprised by this result! I've always figured the effect sizes were quite small, and there are good researchers who don't buy its main explanations, but the idea of ego
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by closed 9y ago
I don't think it's an issue of old versus new methods. Daniel Lakens has an great string of blog posts / publications on how a lot of the same things can go wrong with Bayesian anaylses [1], and how p-values can be viewed as
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by closed 9y ago
first thought after closing: peace at long last
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I've plugged it before, but the article "Model selection for ecologists: the worldviews of AIC and BIC" [1] is a great place to start. It's aimed at practitioners, and discusses the relation between many statistical conc
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That's true, and a major benefit of trying something is that it can correct for overconfidence and expose specific gaps in understanding (so you can seek out explanations, or puzzle it out)
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> That might work well for your crud day job, but for your own projects, why not learn from the mistakes of others and not your own? There's value in learning from others, but in general, people learn more quickly from trying things
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I have seen people in physics and other physical sciences work with statistics. My sense is that the less someone has to worry about "measurement error", the less intuitive statics seems to them. For example, in some areas of res
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It's clear there are a lot of strong opinions about R! One kind of obscure problem I run in to is R's embrace of a global namespace. Package developers sometimes assume people are using this namespace, and access it via the global
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by closed 9y ago
> I honestly don't get what's in it for the people pushing bad science related to social-justice issues as a first step, I would try to imagine the situations where you might produce bad science, in the name confirming somethin

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