🤯 the loss landscapes in this paper and at https://t.co/rtrohwWgv9 https://t.co/cvX7SmlD5R
— Brandon Rohrer (@_brohrer_) November 5, 2019
🤯 the loss landscapes in this paper and at https://t.co/rtrohwWgv9 https://t.co/cvX7SmlD5R
— Brandon Rohrer (@_brohrer_) November 5, 2019
At #EMNLP2019 we’re presenting a live demo of VizSeq, a visual analysis toolkit for text generation tasks. Join us at the conference in Hong Kong on Wed at 1:30 - 3:00pm
— Facebook AI (@facebookai) November 4, 2019
Paper: https://t.co/1P4giAh33V
Code: https://t.co/43SX9dRtoP pic.twitter.com/FVIoqnVt3X
Historical travel times from New York City to the rest of the USA, per the 1932 Atlas of the Historical Geography of the United States. #travel #dataviz
— Randy Olson (@randal_olson) November 3, 2019
Can you imagine taking 2 weeks just to get from #NYC to #Atlanta?
Digital version of the atlas here: https://t.co/niB6iBBUu9 pic.twitter.com/UhS0aBeaj1
In this #tidytuesday screencast, I analyze a dataset of squirrels in Central Park🐿️🐿️🐿️
— David Robinson (@drob) November 1, 2019
This includes a visualization from NYC shapefiles, as well as a quick Shiny app to explore how squirrel behavior varies across the park!https://t.co/uXxrdgzaUQ #rstats pic.twitter.com/TlGCpqHqGd
The power of party, Part #7,932,886
— Micah Cohen (@micahcohen) October 31, 2019
(also, kinda amazing how few Rs/Ds represent opposite-leaning districts)https://t.co/COTOlLKst7 pic.twitter.com/g1GqSwsZEZ
I just posted "[OC] Top Twitter accounts followed by members of 116th U.S. Congress" on Reddithttps://t.co/zilVVnOtxU
— Mike Kearney📊 (@kearneymw) October 31, 2019
China has long been a nation of savers, but 40 years into the greatest accumulation of money the world has ever seen, the pattern is reversing https://t.co/MM8U5RmFRK via @WSJ pic.twitter.com/914XjsiaME
— WSJ Graphics (@WSJGraphics) October 30, 2019
Births in the #USA by mother’s age group, 1995-today. #datavizhttps://t.co/qMJz74Dek8 pic.twitter.com/vY1hDifSTz
— Randy Olson (@randal_olson) October 28, 2019
1/3 This morning I presented at #ieeevis the work on a super-fast #tSNE developed during my internship at @GoogleAI with @zzznah. Slides, demo and code are available at https://t.co/kZqXrU4R7M #IEEEVIS2019 @tudelft @BoardTUe @EEMCS_TUD @Google
— Nicola Pezzotti (@nicolapezzotti) October 24, 2019
The 2020 Democratic presidential primary field is the largest in modern history. Charts show how it stacks up against previous campaign seasons https://t.co/04YlC3Ipmy via @WSJ pic.twitter.com/Jo0XgWEzMz
— WSJ Graphics (@WSJGraphics) October 24, 2019
I collected all of the "friends" of (accounts followed by) members of the 116th U.S. Congress on Twitter and have some neat preliminary obs to share.
— Mike Kearney📊 (@kearneymw) October 24, 2019
1. Here are the 150 most followed accounts by members of congress–and how many follows are Ds (column #2) and Rs (column #3): pic.twitter.com/ewWTmxLofU
I mapped when and where people start their commutes to go work in major cities. Here are the maps for the 3 busiest: Los Angeles, Chicago, and New York. https://t.co/JcDmCEJT47 pic.twitter.com/6WDgA3rTNK
— Nathan Yau (@flowingdata) October 22, 2019