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superfx
searching PlanetScale…
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23 ms
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181.
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Using WorkFlowy as a Project Management Software
(medium.com)
2 points
by
superfx
13y ago
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0 comments
182.
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John Maynard Keynes: Newton, the Man
(www-history.mcs.st-and.ac.uk)
3 points
by
superfx
13y ago
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0 comments
183.
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Silicon Valley Needs to Lose the Arrogance or Risk Destruction
(wired.com)
4 points
by
superfx
13y ago
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0 comments
184.
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Humanity's forgotten return to Africa revealed in DNA
(newscientist.com)
1 points
by
superfx
13y ago
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0 comments
185.
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Bayesian or Frequentist, Which Are You? (2009) [video]
(videolectures.net)
11 points
by
superfx
13y ago
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0 comments
186.
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Scientists discover a new, simpler way to make stem cells
(bostonglobe.com)
2 points
by
superfx
13y ago
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0 comments
187.
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by
superfx
13y ago
Well they've discovered that many stresses can induce this response, including physical stress. So it's not just acidity.
188.
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by
superfx
13y ago
In many ways what's most interesting about this from a biological standpoint is that it explains why stem cells have been found all over the body in previous experiments. This "stress-induced" pluripotency suggests a general
189.
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Illumina announces $1,000 genome
(utsandiego.com)
2 points
by
superfx
13y ago
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0 comments
190.
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by
superfx
13y ago
I find Workflowy to be excellent.
191.
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by
superfx
13y ago
My first impression reading the title was "don't waste your time going there".
192.
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by
superfx
13y ago
I took this class in person at Stanford, and it's hands down one of the best and most useful courses offered in CS/ML/Stats. If the online course is anything like the real course then this is a must.
193.
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by
superfx
13y ago
Rob Fergus is joining Facebook too: https://plus.google.com/103199870243230279182/posts/JaqgU1sX...
194.
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Theory of Everything Movie
(motls.blogspot.com)
4 points
by
superfx
13y ago
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0 comments
195.
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Hugo Larochelle's Class on Neural Networks and Deep Learning
(youtube.com)
3 points
by
superfx
13y ago
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0 comments
196.
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Fires are More Frequent in the Model S than Regular Cars
(technologyreview.com)
1 points
by
superfx
13y ago
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0 comments
197.
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A Year in New England: Boston vs. Silicon Valley
(moalquraishi.wordpress.com)
4 points
by
superfx
13y ago
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1 comments
198.
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by
superfx
13y ago
I believe your reasoning is incorrect. If we model the number of fires by a poisson distribution (very reasonable), a single sample would correspond to the mode of the distribution. What you would like is an estimate of the mean, i.e. lambd
199.
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by
superfx
13y ago
Thanks for the comment. I just fixed it.
200.
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The Federal Government is Not Useless
(moalquraishi.wordpress.com)
11 points
by
superfx
13y ago
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5 comments
201.
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Get your microbiome for 841 EUR
(my.microbes.eu)
1 points
by
superfx
13y ago
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0 comments
202.
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Predictions are cheap in biology
(moalquraishi.wordpress.com)
1 points
by
superfx
13y ago
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0 comments
203.
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by
superfx
13y ago
I think it has been useful to me. For one, I'm more motivated to work because if I slack off, I'll be staring at an empty indicator all week long which really upsets me. I suppose it's just a psychological trick that may or m
204.
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by
superfx
13y ago
I'm the author of the original post. I use Dynamic in two ways. The more obvious way is just to create interactive visualizations that I can easily manipulate, for example changing the time granularity or the set of projects displayed.
205.
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Skipping breakfast may increase coronary heart disease risk
(hsph.harvard.edu)
1 points
by
superfx
13y ago
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0 comments
206.
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by
superfx
13y ago
Since we're comparing notes, here's the Mathematica version: Reverse[SortBy[Tally[StringSplit[#]], #[[2]] &]][[;; 10, 1]] &
207.
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by
superfx
15y ago
I have specific requirements, particularly numbers 3 and 4. AFAIK none of the ones that show up on google can do those, in particular 3.
208.
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Ask HN: Best todo list?
7 points
by
superfx
15y ago
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11 comments
209.
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Stanford in NYC website
(stanford.edu)
2 points
by
superfx
15y ago
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0 comments
210.
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by
superfx
15y ago
If I recall in the demo, they kept on referring to procedural generation, and so perhaps they have a few tricks up their sleeve for generating content (trees being an obvious example) that would be varied yet take up little memory.
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