All. The. Time. https://t.co/15UY2MeEK5
— Bojan Tunguz (@tunguz) August 28, 2020
All. The. Time. https://t.co/15UY2MeEK5
— Bojan Tunguz (@tunguz) August 28, 2020
As you may know, I love writing & blogging. So, after a nice summer & before Fall semester starts next week, I just wrote "Interpretable Machine Learning I
— Sebastian Raschka (@rasbt) August 26, 2020
-- Book Review and Thoughts about Linear and Logistic Regression as Interpretable Models": https://t.co/uKgb66tbmX pic.twitter.com/AkQ5LCC2Qe
The hardest part of data science isn't the technology pic.twitter.com/2IslFWrJwa
— Caitlin Hudon 👩🏼💻 (@beeonaposy) August 26, 2020
A new study of the >31M datasets cataloged by #DatasetSearch analyzes their accessibility and usability, makes recommendations for dataset publishers, and includes a metadata dataset release to encourage additional research. Read more and get the data ↓ https://t.co/XSIZrDlxwn
— Google AI (@GoogleAI) August 25, 2020
** new blog post **: many models 📊 workflows in python 🐍
— alex hayes (@alexpghayes) August 25, 2020
how to do tidyverse-style EDA in #python with the #pydata stackhttps://t.co/UWmin29BJq pic.twitter.com/JKqjKA7grN
In which @standupmaths and I discuss BAD NUMBER ANALOGIES with the help of special effects right out of Jurassic Park: https://t.co/7aLSuEToOn
— Tim Harford (@TimHarford) August 25, 2020
You understand a thing if you can recreate it -- not in the weak sense of being able to *copy* it, but in the strong sense of being able to generate deliberate variations of it. Including improvements.
— François Chollet (@fchollet) August 25, 2020
You understand a thing if you can recreate it *better*.
How does a university based researcher keep feeling relevant in this fast changing and compute driven field?
— hardmaru (@hardmaru) August 25, 2020
Some good discussion here ➝ https://t.co/hlGNFrHete pic.twitter.com/q5vABdR9dS
Communication tip: When you're writing for an audience of varying experience levels, explain concepts using language that to experts doesn't feel like an explanation pic.twitter.com/llCkTr4GWy
— David Robinson (@drob) August 24, 2020
Progression of 3 waves of AI ethics:
— Rachel Thomas (@math_rachel) August 23, 2020
1st- abstract principles, dominated by philosophers
2nd- geared towards technical fixes, led by computer scientists
3rd- focused on practical mechanisms for rectifying power imbalances & achieving justice
https://t.co/urDnZRwLsi @carlykind_ pic.twitter.com/hmTjNVVJTU
Congrats @jeremyphoward & team on releasing Fastai v2! We're thrilled about the launch.
— Lavanya (@lavanyaai) August 21, 2020
Take Fastai for a spin:
◦ Visualize, track & compare Fastai models https://t.co/dTbigfJsib
◦ Semantic segmentation with Fastai https://t.co/Q7Gy9QqJze#deeplearning #machinelearning
"We should do X because that is the way we did it at Google" is almost always a bad idea, unless you work at a FAANG.
— Chris Albon (@chrisalbon) August 20, 2020