Today, as a developer who has been programming for a quarter-century, I am now 20+ minutes into trying to figure out how a five-line for loop is looping infinitely.
— Pete Holiday (@toomuchpete) May 28, 2018
Just in case you needed a reminder that these things happen to everyone.
TFW a PhD student is presenting about Bayesian statistics, and they keep saying it needs a "prayer", and you don't think that's a very solid foundation for inference, and then you realise they are actually saying "prior".
— Jeffrey Rosenthal (@ProbabilityProf) May 28, 2018
How do your hobbies make you a better scientist?
— Science Magazine (@sciencemagazine) May 28, 2018
Share your thoughts by Friday—your answer could be published in a forthcoming issue of Science: https://t.co/eDzMwPAQEf #NextGenSci
Five years on, it's disappointing that the data visualization community never fully recognized the benefits of 3D stacked scatter pie columns: https://t.co/egvMKQ7WbU pic.twitter.com/ay9Zngedrl
— Daniel MacArthur (@dgmacarthur) May 28, 2018
Turns out that healthcare is complicated. And combining medicine, math, and computing to produce breakthroughs is hard. Still someone will do it. Just not IBM right now. https://t.co/AM9CEnwjsn #AI #MachineLearning #BigData #DigitalHealth pic.twitter.com/eZccq5K3qG
— Harlan Krumholz (@hmkyale) May 28, 2018
lots of exciting recent work in large-scale distributed training of neural nets: (very) large-batch SGD, KFAC, ES, population-based training / ENAS, (online) distillation, ... 🔥
— Andrej Karpathy (@karpathy) May 27, 2018
Statisticians are called weird for terms like Law of the Unconscious Statistician (LOTUS), but I just heard that actuaries use "Darth Vader Rule" for the fact that the expectation of a nonnegative r.v. is the integral of its survival function. pic.twitter.com/mlKhMH86BI
— Joe Blitzstein (@stat110) May 27, 2018
Just a robot riding a bicycle pic.twitter.com/TWSKheldld
— Vala Afshar (@ValaAfshar) May 27, 2018
Response to "But all my nearest neighbors are doing it!!" https://t.co/6KC3VzsZ1o
— Data Science Renee (@BecomingDataSci) May 27, 2018
I think a lot of "best practices" arguments in programming are more about social power and in / out group dynamics than anything evidence based. Same goes for framework arguments, which language to use arguments etc.
— taotetek (@taotetek) May 26, 2018
not a huge fan of the term "differentiable programming". The big deal isn't that it's differentiable, it's that there is any optimization over the code at all, instead of explicit code. I like/started to use "fill-in-the-blanks programming", artifacts of which are Software 2.0 :)
— Andrej Karpathy (@karpathy) May 26, 2018
There are no Tony Starks. There are only assholes who take everyone else’s ideas, put them together and claim they are Tony Stark.” -@doctorow #phoenixcomicfest2018
— Michael Senft (@RelentlessRead) May 26, 2018
