Y
HN Search
Hacker News Search
new
|
comments
|
top
|
jobs
jmcohen
searching PlanetScale…
1.
▲
2.
▲
3.
▲
4.
▲
5.
▲
6.
▲
4 ms
·
1.
▲
by
jmcohen
11y ago
Is there an email address where I can send a resume / cover letter if I'm interested in ML at Spotify? Thanks!
2.
▲
What Really Keeps Women Out of Tech
(nytimes.com)
131 points
by
jmcohen
11y ago
|
418 comments
3.
▲
by
jmcohen
11y ago
Yes, every engineer there has a dev server running a copy of Facebook.
4.
▲
by
jmcohen
11y ago
plug for a friend's similar whimsical project: http://www.dayhue.com/
5.
▲
by
jmcohen
12y ago
"Likelihood" can refer to both p(param|data) and p(data|param). See [1] for an example of the first, and [2] for the second. [1] http://en.wikipedia.org/wiki/Likelihood_function [2] http://en.wiki
6.
▲
by
jmcohen
12y ago
Both first-come-first-serve and random selection are better ways to admit people to a hackathon than "let's play college admissions committee." HackMIT came up with a nice hybrid solution this year [1]. Most spots were fille
7.
▲
by
jmcohen
12y ago
Yes, I think that the idea that a hackathon can be "won" is silly too.
8.
▲
by
jmcohen
12y ago
Penn's hackathon is by application only. I think this is pretty silly. Here's a quote from a Medium post by one of the event organizers announcing this year's low acceptance rate of 30% [1]: The people that got in had a
9.
▲
by
jmcohen
12y ago
Right, the choice of 40 as the number of factors was totally arbitrary and unscientific. We tried factorizations with 30, 40, and 50 factors, and chose the one that produced the most interpretable latent factors.
10.
▲
Decomposing the Human Palate with Matrix Factorization
(jeremymcohen.net)
118 points
by
jmcohen
12y ago
|
20 comments
11.
▲
by
jmcohen
12y ago
All evidence points to the contrary. 34% of Facebook's employees are Asian, but only 19% of managers are. NYT article: http://bits.blogs.nytimes.com/2014/06/25/facebook-mirrors-te... Facebook's &qu
12.
▲
by
jmcohen
12y ago
One reason why bankers might become more dishonest after being primed to think about their jobs is that being a good banker, like being a good used-car salesman, often requires dishonesty. I’m thinking of a scene from the (non-fiction) bo