The next time you read about a new study and go "isn't it obvious?!", consider this. https://t.co/K7lsf6gn5qhttps://t.co/2Bzf5QIp6c pic.twitter.com/4JMebUjPwJ
— Arvind Narayanan (@random_walker) September 17, 2017
The next time you read about a new study and go "isn't it obvious?!", consider this. https://t.co/K7lsf6gn5qhttps://t.co/2Bzf5QIp6c pic.twitter.com/4JMebUjPwJ
— Arvind Narayanan (@random_walker) September 17, 2017
In my free time, I scan scientific literature for problematic images.
— Elisabeth Bik (@MicrobiomDigest) August 28, 2017
Data on 20,000 papers: https://t.co/ItWJ87pehr
Or read this thread. https://t.co/n38M3e10uu
how probability distributions are related pic.twitter.com/1i8VHEHdy5
— hardmaru (@hardmaru) August 2, 2017
"These dynamic langs are so sloppy. We should be more rigorous, like maths."
— Chris Ford (@ctford) July 18, 2017
"Cool! What does maths use to indicate types?"
"Fonts, mostly."
Put a 🔎 in your profile name if you're openly looking for a job so those of us that know of open roles can spot u! Also see @NewDataSciJobs! https://t.co/IVc1lavz1w
— Data Science Renee (@BecomingDataSci) June 13, 2017
LSTMs are like the AK47 of neural nets. No matter how hard we try to replace it with something new, it will still be used 50 years from now. pic.twitter.com/hVvQZqd8C5
— hardmaru (@hardmaru) May 14, 2017
Simple way for editors to improve science: If your journal still uses “statistical significance” in 2017, retire your statistical consultant pic.twitter.com/ZbPljE2OyP
— Miguel Hernán (@_MiguelHernan) April 28, 2017
Kaggler @tunguz shares insights from his 4th place finish in the Cats versus Dogs image classification competition https://t.co/oPG8PLyOf7 pic.twitter.com/QJFOgtw50g
— Kaggle (@kaggle) April 4, 2017
This is #MachineLearning / evolutionary computation in a nutshell. pic.twitter.com/lX2gpk8H98
— Randy Olson (@randal_olson) March 15, 2017
"Typography exists to honor content." Robert Bringhurst
— Edward Tufte (@EdwardTufte) January 23, 2017
Design is code. Donald Knuth's gift: complete integration: type image math,
— Edward Tufte (@EdwardTufte) December 31, 2016
whatever it takes. ACP4,pre-fascicle 5C,Dec10,2016 #dataviz #ddj pic.twitter.com/VCDRZKnWfU
My most important advice to new data scientists: "Start with a specific scientific que-
— David Robinson (@drob) March 17, 2016
No wait! It's "Try putting the axis on a log scale"