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kyllo
searching Neon…
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7 ms
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by
kyllo
27d ago
> You could say the same thing about compilers versus assemblers, high-level languages versus low-level ones, and services and libraries versus monolithic programs. Right, but we didn't invest a trillion dollars of capital into any
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kyllo
29d ago
On the value capture question, it's really not clear that the ability to write code at superhuman speed actually translates to an increase in the speed with which we can create new, better technology products that customers will pay mo
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kyllo
2mo ago
[flagged]
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kyllo
2mo ago
Reads like fearmongering about oppressive and violent applications of AI that the Chinese government hypothetically could deploy, which the US government is already actively working on in the meantime.
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kyllo
1y ago
Only perfect multicollinearity (correlation of 1.0 or -1.0) is a problem at the linear algebra level when fitting a statistical model. But theoretically speaking, in a scientific context, why would you want to fit an explanatory model that
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kyllo
1y ago
In other words, as economists say, because OLS is provably the BLUE (Best Linear Unbiased Estimator) aka the Gauss-Markov Theorem.
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kyllo
1y ago
You make a good point, though the difference between ML and statistics isn't just about interpreting and validating the model. It's about the "novel discoveries" part aka Doing Science. Statistical modeling is done prima
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kyllo
2y ago
> A sailor is sailing her boat across the lake on a windy day. As the wind blows, she counters by turning the rudder in such a way so as to exactly offset the force of the wind. Back and forth she moves the rudder, yet the boat follows a
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kyllo
2y ago
Collider bias or "Berkson's Paradox" is a fun one, there lots of examples of it in everyday life: https://en.wikipedia.org/wiki/Berkson%27s_paradox
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kyllo
2y ago
Indeed, causally linked variables need not be correlated in observed data; bias in the opposite direction of the causal effect may approximately equal or exceed it in magnitude and "mask" the correlation. Chapter 1 of this popular
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kyllo
2y ago
This. I bought toothpaste on Amazon, used it up, and the next time I went to buy the exact same toothpaste, the price had doubled.
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kyllo
2y ago
USPA has a tested division now and it's been gaining in popularity--it will soon be more popular than the untested division if it isn't already. Most of the top untested powerlifters have moved over to the WRPF (which does also ha
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kyllo
2y ago
Which is based not on your ability to produce value, but your ability to capture value and charge a cut of every unit, and is thus a massive disincentive to produce public goods.
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kyllo
2y ago
When I lived in South Korea, one of the things that struck me was how much "flatter" the generations there were in terms of pop culture and music taste and awareness, compared to the US. I worked in an office with a bunch of suit-
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kyllo
2y ago
My friend (who's the same age as me) has a 14 year old son who's learning guitar and he asked me for a lesson. The first thing he wanted me to show him was some riffs from AC/DC songs that came out before I was born.
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kyllo
2y ago
I use plotnine whenever I need to make (static) plots in Python. It's really quite well done, a close match to R's ggplot2, and more feature complete than any of the other Python grammar of graphics packages I've tried.
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kyllo
2y ago
I'm not sure I've even seen a recent, large C++ project that didn't depend on Python or some other external scripting language just to build it, so it's kind of hard to imagine using C++ itself to solve the problem that
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kyllo
3y ago
Ever had a dry-aged steak?
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kyllo
3y ago
It's a lot easier to go distributed if you're append-only, that's for sure.
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kyllo
3y ago
Substances affect different people differently. I can have 3-4 drinks in an evening without changing my eating or sleep habits at all and without feeling any different the next day. Some people experience drinking-related issues other than
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kyllo
3y ago
Yeah. When I run out, I just add it to my grocery list and pick up some more the next time I go to the supermarket. Can't remember the last time I left my house specifically to buy alcohol.
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kyllo
3y ago
A drinking problem isn't defined by quantity, it is when you have a problematic habit/dependence that you can't quit at will. There are plenty of people who enjoy a few drinks several days a week but can just cut back or stop
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kyllo
3y ago
Except for those people who wake up and have a midnight snack. Cutting out the snacking is probably also a major factor in the effectiveness of intermittent fasting, especially given that snack foods are often more processed, calorie-dense,
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kyllo
3y ago
Power Pivot is the name for the tabular data modeling feature in Excel. It works similarly to Power BI or SQL Server Analysis Services, sharing the underlying database technology. You can load data from queries and files, transform it, add
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kyllo
3y ago
Assuming the company has a Microsoft 365 subscription, Mac users can just use the Excel web client in their browser to access the data via pivot tables.
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kyllo
3y ago
I agree and I do this via Power BI. If you import data into a Power BI report, create a data model with calculated measures (in DAX, not MDX), and publish it to the online service, then users can click on "Analyze in Excel" and it
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kyllo
3y ago
Darts isn't a specific model, it's a wrapper API for a wide variety of forecasting models, and Prophet is one of them. Other models may or may not outperform Prophet depending on the nature of your specific application and your ti
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kyllo
3y ago
Right, what causal inference really gives you is a tool for specifying assumptions about a model of a data generating process and then estimating a parameter representing the effect size (and the uncertainty surrounding it), provided that y
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kyllo
3y ago
The Costco near my house sells a large box of frozen mutton cubes, which is the only mutton product I've ever seen at a store in America, and I believe it's mostly purchased by South Asian and Middle Eastern immigrant customers.
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kyllo
3y ago
I actually think Google picked the winner by deciding to use Python, especially for TensorFlow, right at the time when deep learning really started taking off, and also at a time when they were seen as the leader in engineering best practic
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