I'm a dataviz professional, and I don't use a single one of those top 20 data visualization software products https://t.co/7MmbKHrmSJ
— Maarten Lambrechts (@maartenzam) October 27, 2021
I'm a dataviz professional, and I don't use a single one of those top 20 data visualization software products https://t.co/7MmbKHrmSJ
— Maarten Lambrechts (@maartenzam) October 27, 2021
A simple trick for learning a new literature I was taught in my undergrad is the "snowball" technique. Here's how it works: start with one review or empirical finding in the topic you want to work on. Carefully read the works cited and pick 4-5 key references. Then read those.
— Micah Allen (@micahgallen) October 25, 2021
Here is a one-year perspective on @chrmanning's question (data courtesy of @SemanticScholar). Very interesting result: EMNLP has much fewer little-cited papers, but Findings has more very-highly-cited papers. Findings high-risk, sometimes high reward. 1/2 https://t.co/BnouEtU03e pic.twitter.com/d4Fj9Tv5YB
— Graham Neubig (@gneubig) October 21, 2021
How we think other people learn what they know versus how they really learn pic.twitter.com/Sme6JPtWJr
— Vicki Boykis (@vboykis) October 19, 2021
Tesla officially launches its insurance using ‘real-time driving behavior’
— hardmaru (@hardmaru) October 15, 2021
Will be interesting to see long-term effects of this "machine teaching" experiment on society; whether driving habits of masses can be altered by real-time economic reward signal.https://t.co/ujEelRXG4y pic.twitter.com/Nv68Fc8SeV
ML can help us build a black box system, but can also help us analyze a black box system. @LeonYin went above & beyond to use RF to analyze Amazon's product ranking system.
— Kyunghyun Cho (@kchonyc) October 14, 2021
insightful! https://t.co/N6BFzhlxgo
It seems that everyone wants to publish many papers but no one wants to read others’ papers…
— Jia-Bin Huang (@jbhuang0604) October 12, 2021
(thoughts after attending a poorly attended poster session)
Has anyone else noticed that walking whilst learning gives better results? Are there any studies of this phenomenon?https://t.co/oORKggBKXI pic.twitter.com/OkZoeAccdU
— Jeremy Howard (@jeremyphoward) October 11, 2021
In 2020, my life was turned upside down -- I was encountering failure after failure and in deep depression. But that also turned out to be the most enlightening period. In October I was invited to give a talk at Google (thanks to @orf_bnw). It's out today: https://t.co/hYFLnH7JHV pic.twitter.com/gIYdnsMRgI
— Rosanne Liu (@savvyRL) October 7, 2021
The problem with p-hacking is not the “hacking,” it’s the “p” (or, Fisher is just fine on this one) https://t.co/Rc0DoYeMmj
— Andrew Gelman et al. (@StatModeling) September 30, 2021
Here it is! 🔥
— Matt Turck (@mattturck) September 28, 2021
After 100’s of hours of research and writing, excited to release the 2021 ***MAD*** landscape (Machine learning, Artificial Intelligence and Data) - with my colleague @john_d_wu
A crazy, intense, and fun year in the ecosystem
👇👇👇https://t.co/NQDQfaFUk7
Ready for a new profile pic? Meet Google Illustrations: a collection of customizable designs to help you create a profile image to represent yourself across most Google products. https://t.co/iJ26HeUCuh
— Boo-gle 👻 (@Google) September 27, 2021