ehudla

14 ms·

91.
Herb Simon: Earthware Symposium (October 2000) Future of Technology(youtube.com)
1 points by ehudla 8y ago|0 comments
92.
9 Apps to Try If You Want to Learn Something New Every Day(gizmodo.com)
1 points by ehudla 8y ago|0 comments
93.
Historian of Science Simon Schaffer on Espionage and Intelligent Machines(youtube.com)
1 points by ehudla 8y ago|0 comments
94.
Simon Schaffer,Imitation Games:Conspiratorial Sciences and Intelligent Machines(youtube.com)
1 points by ehudla 8y ago|0 comments
95.
by ehudla 8y ago
I was most surprised by his take on the future of weapons research.
96.
Isaac Asimov on The David Letterman Show (1980) [video](youtube.com)
127 points by ehudla 8y ago|36 comments
97.
by ehudla 8y ago
What does it tell us that the Python op-ed hunting hack got the least amount of HN votes compared to the two R submissions?
98.
Looking for the author behind NYT op-ed using data science(github.com)
20 points by ehudla 8y ago|10 comments
99.
Who Wrote the Anti-Trump New York Times Op-Ed? Using Tidytext(varianceexplained.org)
114 points by ehudla 8y ago|72 comments
100.
Linguistic analysis of who wrote the op-ed (Python)(maxberggren.se)
4 points by ehudla 8y ago|2 comments
101.
by ehudla 8y ago
If you plan to leave books behind, consider using bookcrossing: http://www.bookcrossing.com/
102.
by ehudla 8y ago
added.
103.
The Top Martin Gardner Scientific American Articles (2014)(blogs.scientificamerican.com)
16 points by ehudla 8y ago|5 comments
104.
by ehudla 8y ago
I loved these Scientific American profiles as a kid. I guess there's nothing like it these days?
105.
Profile: David A. Huffman (1991)(huffmancoding.com)
47 points by ehudla 8y ago|2 comments
106.
Intro to the survey R package (CMU)(andrew.cmu.edu)
4 points by ehudla 8y ago|0 comments
107.
Complex survey samples in R (2007) [pdf](r-survey.r-forge.r-project.org)
5 points by ehudla 8y ago|0 comments
108.
by ehudla 8y ago
I agree. Even if someone wants to swim against the current and use Python instead of R in these context, it is very hard to do and get publication quality results unless you have plenty of time and really know what you are doing. Since scie
109.
538 classic model in Python/Pandas(nbviewer.jupyter.org)
1 points by ehudla 8y ago|0 comments
110.
Resources- Stanford CS 229(stanford.edu)
3 points by ehudla 8y ago|0 comments
111.
Data Science Cheatsheet(github.com)
4 points by ehudla 8y ago|0 comments
112.
The Mystery of People Who Speak Dozens of Languages(newyorker.com)
3 points by ehudla 8y ago|0 comments
113.
Bitcoin’s energy usage is huge – we can't afford to ignore it(theguardian.com)
26 points by ehudla 8y ago|3 comments
114.
by ehudla 8y ago
Alas, most short ones I find are too long (~10 min). Really short: Stoic Meditations; Le Mot du Jour. Planet Money indicator is longer but still short enough to listen to (1.5 speed...) while shaving.
115.
by ehudla 8y ago
I've recently become fond short 2-5 minute podcasts as part of my daily routine, which makes me think that a short, 3 minute, daily podcast consisting of one "bumper sticker" plus maybe a little explanation or an example is d
116.
by ehudla 8y ago
RStudio? Really? What do you like about it? I see various advantages R has, but RStudio never appealed. As for Jupyter (which I love), there's nteract [1], which Netflix seems to be supporting [2]. [1] https://github.com&#x2
117.
Beyond Interactive: Notebook Innovation at Netflix – Netflix TechBlog – Medium(medium.com)
3 points by ehudla 8y ago|0 comments
118.
by ehudla 8y ago
How many tech startups were acquired by the tech behemoths ?
119.
The homogenization of scientific computing (2013)(talyarkoni.org)
32 points by ehudla 8y ago|14 comments
120.
A Dramatic Tour Through Python’s Data Visualization Landscape (2016)(dsaber.com)
4 points by ehudla 8y ago|0 comments

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