Lolcode because it doesn’t matter what #DataScience skills you have when pretty soon society will collapse and we’ll all be dead anyway. https://t.co/9AKuIgqJk1
— Nihilist Data Scientist (@nihilist_ds) October 1, 2018
Lolcode because it doesn’t matter what #DataScience skills you have when pretty soon society will collapse and we’ll all be dead anyway. https://t.co/9AKuIgqJk1
— Nihilist Data Scientist (@nihilist_ds) October 1, 2018
It has been 250 -> 500 -> 1000 -> 1600. Disappointed at sub-exponential grow :) #winteriscoming #linearorexponential https://t.co/SDvUyGriXX
— Oriol Vinyals (@OriolVinyalsML) September 29, 2018
When you use a 10 layer Deep Neural Network where Logistic Regression would suffice pic.twitter.com/ob4G0UbSAz
— Reza Zadeh (@Reza_Zadeh) September 27, 2018
My debugging process, illustrated: pic.twitter.com/Axjgvoe08B
— Jake VanderPlas (@jakevdp) September 23, 2018
We need a special term for data scientists who like to highlight that they did #DataScience before it was a thing. Data Hipster?
— Randy Olson (@randal_olson) September 20, 2018
However, the specific complaint that Jupyter notebooks suffer from hidden state issues making them difficult to reason about is bunk.
— Nihilist Data Scientist (@nihilist_ds) September 19, 2018
True state of notebooks is easy to reason about: they’re always wrong, bc you’re always wrong and everything you produce is junk.
See? Simple.
mood pic.twitter.com/Fl2zvXsxAG
— Chris Albon (@chrisalbon) September 19, 2018
Naive Computer Vision model that hasn't been trained on both states of a glass door :) pic.twitter.com/0O62wofvl7
— Reza Zadeh (@Reza_Zadeh) September 16, 2018
Saw somebody wear this t-shirt. The last line is killer. pic.twitter.com/vFwfS4uBrK
— Delip Rao (@deliprao) September 15, 2018
Stages of data science:
— Chris Albon (@chrisalbon) September 15, 2018
1. Huh, that's weird.
2. HOLY MOTHER OF!
3. Stackoverflow.
4. Stackoverflow.
5. Stackoverflow.
6. Stackoverflow.
7. Run.
8. Yeah, I'd do that again. https://t.co/GZv1ZoEdGw
100% true https://t.co/cym1iNbSoz pic.twitter.com/hKQPtBlCUY
— PHD Comics (@PHDcomics) September 14, 2018
(“All characters are fictional and any resemblance to real life people are purely coincidental.”)
— hardmaru (@hardmaru) September 14, 2018