joker3

12 ms·

61.
Average people can discern the beauty of math(futurity.org)
1 points by joker3 7y ago|0 comments
62.
by joker3 7y ago
No one is going to care until an important proof can't be verified and a counterexample to some step is found. At that point, you'll see a sea change. This could take twenty years, or it could happen next year.
63.
A Probabilistic Representation of Deep Learning(arxiv.org)
1 points by joker3 7y ago|0 comments
64.
by joker3 7y ago
What are you going to take out of the curriculum to make room for that? There are limits on how much you can teach in four years, and we're already at that point.
65.
Software Engineering Grads Lack the Skills Startups Need(spectrum.ieee.org)
209 points by joker3 7y ago|171 comments
66.
by joker3 7y ago
That's a classic. If you want something to follow that up with, take a look at Berger's "Statistical Decision Theory and Bayesian Analysis".
67.
Functional Programming in Bash(github.com)
61 points by joker3 7y ago|10 comments
68.
An analysis of Glassdoor data on interviews and offers(twitter.com)
2 points by joker3 7y ago|0 comments
69.
by joker3 7y ago
Are you familiar with Conway's base 13 function? It's about as badly discontinuous as a real-valued function can be. https://en.wikipedia.org/wiki/Conway_base_13_function
70.
by joker3 7y ago
Penn has a master's program, the MCIT ( https://onlinelearning.seas.upenn.edu/mcit/ ), that's designed to be a highly condensed undergraduate program in computer science. The materials from the core courses th
71.
by joker3 7y ago
I've heard that the Cowardly Lion was played according to pretty much every gay stereotype of the day. That seems to fit the thesis of this article very well.
72.
by joker3 7y ago
> For myself, it was worth noticing that Statisticians and Actuaries are at the bottom of the heap as a prior role for existing data scientists. This has a lot more to do with the relatively small number of statisticians and actuaries ou
73.
by joker3 7y ago
A lot of older people don't shower or bathe as often as young people because they're worried about slips and falls. I'm surprised that the article didn't consider that.
74.
by joker3 7y ago
Most papers in most disciplines end up not being worth much, and the incentives regarding publishing hold across all of computer science. Is there really something particularly bad going on in deep learning? Or is it just the usual proces
75.
Applied Category Theory – The Emerging Science of Compositionality(lambda-the-ultimate.org)
1 points by joker3 7y ago|0 comments
76.
by joker3 7y ago
It's somewhat confusing to see it this way the first time, but it's absolutely the right way to think about these structures. It's better to do the work to get used to it early on.
77.
1.3% of all public companies account for all stock growth in the past 30 years(bloomberg.com)
2 points by joker3 7y ago|0 comments
78.
by joker3 7y ago
Highly relevant: https://news.ycombinator.com/item?id=19962936
79.
by joker3 7y ago
I think there's a better explanation at https://www.talyarkoni.org/blog/2010/07/07/what-the-dunning-... , which also discusses some possible alternative explanations.
80.
'Anonymised' data can never be anonymous, says study(theguardian.com)
8 points by joker3 7y ago|1 comments
81.
Stitch Fix CEO: In 10 years, every “relevant” company will be a tech company(vox.com)
1 points by joker3 7y ago|0 comments
82.
by joker3 7y ago
"opportunity for growth" is ambiguous. TripleByte should really be asking about more specific things like "skill development" or "opportunities for promotion". I expect that you'd see some pretty differe
83.
by joker3 7y ago
Caloric restriction extends the lifespan of mice, but I don't think there's any good data on longer-lived animals.
84.
by joker3 7y ago
Study something else in addition to computer science, preferably in the humanities or social sciences. A lot of the problems we're seeing in big tech come down to the fact that the people working there don't understand anything o
85.
by joker3 7y ago
https://dynamicecology.wordpress.com/2014/01/23/william-shoc... This is specifically about academia and publishing, but I don't think that's all that different from a lot of development practice. I
86.
by joker3 7y ago
The thing to keep in mind here is that studies can only compare the average effects of any treatments they consider. You don't care about that. Instead, you want to know what's going to work for your particular shoulder pain, wh
87.
Most ML efforts create no value. We should learn from those failures(twitter.com)
1 points by joker3 7y ago|0 comments
88.
by joker3 7y ago
Given the praise for Bayesian methods here, I'm surprised the author didn't discuss the Bayesian solution. See http://isaacslavitt.com/2015/12/19/german-tank-problem-with-... for a similar expositi
89.
A Library Handles a Rare and Deadly Book of Wallpaper Samples (2018)(atlasobscura.com)
58 points by joker3 7y ago|5 comments
90.
by joker3 7y ago
That's not what Dunning and Kruger actually found. See https://www.talyarkoni.org/blog/2010/07/07/what-the-dunning-... for a discussion of the actual Dunning-Kruger effect and some possible explana

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