Really really really liking this #dataviz article about how to identify fake news on Twitter. With the number of different charts to build up the story, and the level of creativity that borders on data art πππ https://t.co/LFWheBi4NK pic.twitter.com/80LIok4FJU
β Nadieh Bremer (@NadiehBremer) October 17, 2019
Mypy 0.740 is out, with type checking of str.format calls and improved checking of unannotated functions. https://t.co/XMzAuE5bBv
β The Mypy Project (@mypyproject) October 17, 2019
Watch "gganimate live cookbook" with @thomasp85 from rstudio::conf(2019)
β RStudio (@rstudio) October 17, 2019
π¦ https://t.co/rEhn6YDpEH
Learn more about and register for rstudio::conf(2020) in San Francisco at https://t.co/rYJqkzCywm #rstudioconf #rstats #DataScience pic.twitter.com/FHgC2NFyBL
Non-Gaussian forecasting using the new fable package: https://t.co/18A3jL8rFV #rstats pic.twitter.com/VzGjNmzkhY
β Rob J Hyndman (@robjhyndman) October 17, 2019
The title had me like π but the article was π―:
β Rachael Tatman (@rctatman) October 16, 2019
"Text, like a picture of a dog, cannot just be indiscriminately flipped and shifted.... [W]e need to base our data augmentation design on a deep understanding of our documentβs structure and content." https://t.co/RUun41lqzf
Principal Components https://t.co/eZ2bbpDzwV pic.twitter.com/A8ParBLMAO
β Chris Albon (@chrisalbon) October 14, 2019
Deep Learning: https://t.co/KgtHR2B9Vk
β Rachel Thomas (@math_rachel) October 13, 2019
NLP: https://t.co/zC31JsKLwz
Comp Linear Algebra: Β https://t.co/qgQTDyxMit
Bias, Ethics, & AI: https://t.co/CR3THkKmy6
Debunk Pipeline Myth: https://t.co/qIW64dWkUg
AI Needs You: https://t.co/xUAv2eZLls
Ethics Center:Β https://t.co/uCyv7xEt26
NEW POST: My paper with @N8V_TXN on opioid prescribing rates in Texas is now out!
β Julia Silge (@juliasilge) October 12, 2019
I used #rstats tools like the tidyverse, tidycensus, and huxtable! β¨https://t.co/d14gWUu1lC pic.twitter.com/MMAKqFtt1z
π @flowingdata combines R, hoops, annotation, and stellar GIFcraftβ¦
β Mara Averick (@dataandme) October 11, 2019
π "How to Make Animated Visualization GIFs w/ ImageMagick" https://t.co/RvbhBeoajs #dataviz pic.twitter.com/E9bqPH0Zyb
L2 Norm https://t.co/eZ2bbpDzwV pic.twitter.com/Q7NteDeM2H
β Chris Albon (@chrisalbon) October 10, 2019
Here are our slides from yesterday's #MetaForum2019 in Brussels πͺπΊ https://t.co/VR57aoQG5K
β Ines Montani γ°οΈ (@_inesmontani) October 10, 2019
As promised, the first tutorial showing how to use the fastai.medical.imaging library is now available.
β Jeremy Howard (@jeremyphoward) October 9, 2019
It covers analyzing DICOM metadata with a Pandas extension method; combining metadata, pixel stats, & labels; working with data types; viewing; & morehttps://t.co/CqsLkojMSx pic.twitter.com/Zzot76l3uY
