Couldn't resist adding two more options... pic.twitter.com/lTBM0x523F
— Tim Pearce (@Tea_Pearce) April 17, 2020
Couldn't resist adding two more options... pic.twitter.com/lTBM0x523F
— Tim Pearce (@Tea_Pearce) April 17, 2020
You can only keep three. pic.twitter.com/RJrTeBcaHs
— Sean J. Taylor (@seanjtaylor) April 17, 2020
This fun project makes me think that in the distant future, we can go to the computer history museum and look back at this thing called Deep Learning that had been so popular back then https://t.co/HOK3mEvE5H pic.twitter.com/xNVwaXoujI
— hardmaru (@hardmaru) April 15, 2020
I reluctantly rest my case. https://t.co/QFAy7aBESn pic.twitter.com/TexTsXwU3Y
— Cathy O'Neil (@mathbabedotorg) April 14, 2020
micrograd: a tiny autograd engine (~50 LOC) and a neural net library (~60 LOC) on top of it, potentially for educational purposes https://t.co/cGxHqTYJyB
— /MachineLearning (@slashML) April 14, 2020
I visualize ANOVA results with Raincloud plots. Here’s a great paper (with #Rstats code) on this visualization approach from @micahgallen + team https://t.co/m2OF4bstXW pic.twitter.com/rjc4ZsahhL
— Dan Quintana (@dsquintana) April 14, 2020
The highest quality Jupyter notebook I've ever seen was just posted by... <checks notes>... ex-CEO of Instagram, Kevin Systrom?
— Chris Said (@Chris_Said) April 13, 2020
All of us data scientists can hang our heads in shame.
h/t (@seanjtaylor )https://t.co/LU1PSHNveW
when debugging, your attitude matters
— 🔎Julia Evans🔍 (@b0rk) April 13, 2020
(or in article form: https://t.co/UseM2m2WTm) pic.twitter.com/lWfXYEvdaX
This is really cute. Instead of starting people off with HighLevelXLTransformer(data), as many courses and tutorials do, I believe that we should teach these kind of fundamentals. They lead to a deeper understanding of how the magic frameworks work. https://t.co/kXI4FlwDub
— Denny Britz (@dennybritz) April 13, 2020
take on hard projects
— 🔎Julia Evans🔍 (@b0rk) April 11, 2020
(from my zine "so you want to be a wizard" https://t.co/kSR3wloMSn) pic.twitter.com/lyQ0xHpbpp
A nice article by @Alex_Danco that explains how academic research really works, how it became the way it is, and how Twitter might play an important role in disrupting it.
— hardmaru (@hardmaru) April 11, 2020
Good read for non-academics to understand incentive structures of the institution.https://t.co/NVzonJO6ni
I'm obsessed with these covid modeling release notes by @IHME_UW: https://t.co/SZ878KhRQZ pic.twitter.com/5Lz3GgMKF8
— Chris Albon (@chrisalbon) April 11, 2020