It is healthier to simply accept that the world is already Pareto efficient. There is no best path forward. Everything you do will somehow make the world worse. No amount of data analysis will change that, so you might as well just start drinking now. #DataScience
— Nihilist Data Scientist (@nihilist_ds) November 20, 2018
Also blame everything on them because they can’t contradict you. https://t.co/wp754xVBeb
— Chris Albon (@chrisalbon) November 17, 2018
Data science is totally the first one https://t.co/t8ITzNmpDE
— Chris Albon (@chrisalbon) November 8, 2018
One taught me love
— David Robinson (@drob) November 8, 2018
One taught me patience
One taught me pain#rstats pic.twitter.com/abvcLN4gkk
Learning to be funny ... pic.twitter.com/j9xhw2tW2Q
— hardmaru (@hardmaru) November 1, 2018
“Wow am I glad don’t have to study anymore ,” I think on the train, sitting next to a student cramming for an exam, and go back to reading my five open tabs of Hacker News data posts.
— Vicki Boykis (@vboykis) October 30, 2018
🔥 #datascience hot tip 🔥:
— Brooke Watson (@brookLYNevery1) October 23, 2018
One way to start to understand your data on a new level is to rotate your 30-day API keys with the movement of the celestial bodies. It's Scorpio season baby, these queries are about to be [checks notes] intense yet secretive
This is brilliant! https://t.co/MpaHMi56uU
— Delip Rao (@deliprao) October 21, 2018
For the first time in a decade I’ve gone to the gym every day last week. This is a thread about how going to the gym has effected me personally with the hope others can learn from my experience.
— Chris Albon (@chrisalbon) October 20, 2018
1/n
programmers are people who agreed to do homework for the rest of their lives.
— Mahdi Yusuf (@myusuf3) October 12, 2018
Test set’s data distribution vs
— hardmaru (@hardmaru) October 12, 2018
Real world’s data distribution https://t.co/jYE1ULeids
Use Python, get a Nobel. Got it. https://t.co/HX0nvDGb4i
— Chris Albon (@chrisalbon) October 8, 2018
