Normal brain connectivity vs while tripping on magic mushrooms—recreated using needle and thread for #CraftyDataViz pic.twitter.com/RAgjMQYPfe
— Patti Shih (@pattithepotato) May 20, 2018
Normal brain connectivity vs while tripping on magic mushrooms—recreated using needle and thread for #CraftyDataViz pic.twitter.com/RAgjMQYPfe
— Patti Shih (@pattithepotato) May 20, 2018
Can we state once and for all that any modestly sized combinatorial problem has more configurations than "atoms in the universe" so that we don't have to say it every single time?
— Serkan Cabi (@serkancabi) May 20, 2018
I bought a car today, and the dealership had me check off — with a pen, on paper — that I’m not a robot. pic.twitter.com/x6nJ68e6uj
— Marci Robin (@MarciRobin) May 20, 2018
Meghan's friends introduced her to a prince. The only people I get introduced to are tech bros who say "I have the next big startup idea. It's like Uber but for dogs and it uses blockchain and VR. I need you to build everything and I'll pay you in equity" smh.
— Jesslyn 🇮🇩 (@jtannady) May 19, 2018
Why start a course with datasets on day one?
— David Robinson (@drob) May 17, 2018
“I’ve heard students say ‘I hate math’ and ‘I hate stats.’ I’ve never heard one say ‘I hate data.’
-@minebocek at #SDSS18
Sitting at the forefront of computing, we like to imagine we have a good grip on rates of progress. Understanding that Moore's Law - hailed as a miracle enabler of the computing era - is a _snail_ compared to AI's compute trend is vital. Thanks for raising this @OpenAI. https://t.co/S3eR30HrPy
— Smerity (@Smerity) May 16, 2018
Not the first time I've made and shared this list (and not comprehensive), but figured worth sharing again for anyone interested in alternatives to boxplots. #dataviz pic.twitter.com/rOG6UFGoQc
— Cole Knaflic (@storywithdata) May 16, 2018
AI and Compute: Our analysis showing that the amount of compute used in the largest AI training runs has had a doubling period of 3.5 months since 2012 (net increase of 300,000x): https://t.co/YH4tZXirtU
— OpenAI (@OpenAI) May 16, 2018
Kjell and I are writing another book on predictive modeling, this time focused on all the things that you can do with predictors. It's about 60% done and we'd love to get feedback. Check it out at https://t.co/sU9nyCcSql #rstats #MachineLearning pic.twitter.com/T1tVcZAmcL
— Max Kuhn (@topepos) May 14, 2018
And again, this is such an important story. A software failure rate of 20% may sound fine to some, but that's 7000 students forced to leave the UK due to a false assessment https://t.co/uMGjBOibEH
— Kate Crawford (@katecrawford) May 1, 2018
NEW GAME! Why do groups of people act smart, dumb, kind, cruel? An interactive guide to networks & humans:
— Nicky Case (@ncasenmare) April 27, 2018
THE WISDOM and/or MADNESS of CROWDS
😐 https://t.co/HHUwBxE3yX 😐 pic.twitter.com/oRAQh7dSFt
As I read through @chrisalbon's new book, I feel like I'm scrolling through my coding bookmarks folder. But more simplified and organized.
— Data Science Renee (@BecomingDataSci) April 27, 2018
In other words, great reference! https://t.co/opo5Kgxuwk