le0n

7 ms·

1.
by le0n 9y ago
Haskell/GHC will soon have an extension for linear types, which will bring the languages much closer: http://blog.tweag.io/posts/2017-03-13-linear-types.html
2.
by le0n 10y ago
A confidence interval won't adjust the points (point estimates) but will give those points with a lower sample size wide confidence intervals (often covering zero). Using an (empirical) Bayesian multilevel model can both attach uncerta
3.
by le0n 10y ago
I wonder whether this is the same sense in which the brain also uses logic to reason about stuff, and physics to interact with the world.
4.
by le0n 10y ago
It seems to me more bent on buttressing a pro-scientific religious viewpoint.
5.
by le0n 10y ago
Panama papers -- <anger> OpenBazaar -- cool!
6.
by le0n 11y ago
Just so people know, there is a competing/complementary approach to causality in statistics, called the potential outcomes or (Neyman-)Rubin causal model, which as I understand it is currently more popular than Pearl's graphical&#
7.
by le0n 11y ago
I don't think machine learning vs Bayes vs sampling theory has much to do with the content of the article, which is more about causality than interpretations of probability. > it's far more likely that coffee causes cancer if i
8.
by le0n 11y ago
Possibly related simultaneous discussion: https://news.ycombinator.com/item?id=10328699
9.
by le0n 11y ago
+1. A fantastic article. Definitely one of the best popular-level stats pieces I've read.
10.
by le0n 11y ago
Is anyone really an AGI expert?
11.
by le0n 11y ago
“Seeing the world through the lens of Bayes’ Theorem is like seeing The Matrix. Nothing is the same after you have seen Bayes.” I'm pretty sure this is an instance of cognitive bias.
12.
by le0n 11y ago
A great article on similar issues is "Turing Test: 50 Years Later": http://crl.ucsd.edu/~saygin/papers/MMTT.pdf It touches on the "physics is computable therefore the mind is computable", and s
13.
by le0n 11y ago
I prefer comprehensions over either mapping or explicit recursion. Mapping is a win for abstraction but a loss for clarity.
14.
by le0n 11y ago
I cried.
15.
by le0n 12y ago
Also a review at NDPR, which makes some points similar to mine above: http://ndpr.nd.edu/news/53333-philosophy-between-the-lines-t...
16.
by le0n 12y ago
There are some distinct ideas that this article at times seems to conflate: - Obscurity, speaking in fables, non-clarity, indirectness. Multiple layers to one's teaching. This possibly for the sake of pedagogy. - Teachings for the publ