Warnings!
If use of every statistical model was accompanied warnings similar to those accompanying every prescription drug. In medical research, mistakes in data analysis can shorten 1000s of lives. #biostatistics #statistics #datascience pic.twitter.com/GhLltkd3NG
— Edward Tufte (@EdwardTufte) June 24, 2018
Regression to the Mean
Regression to the mean continues to confuse people and lead to errors in published research https://t.co/MEa2h3ud2t
— Andrew Gelman (@StatModeling) June 24, 2018
Visualization
The reigns and deaths of the Roman Emperors. #history #datavizhttps://t.co/AcjOsiuORI pic.twitter.com/6fAANvl5y0
— Randy Olson (@randal_olson) June 24, 2018
π welcome to "the Twitter," @visdesignlab!
— Mara Averick (@dataandme) June 24, 2018
π¦ at the π©βπ»π¨βπ» who brought you UpSetR, and lots o'cool #dataviz research...
π https://t.co/E9QJH83Q2w#infovis #visualization pic.twitter.com/sLLKDkQyM5
And here's one version of the "permutation plot" for each team in the group: pic.twitter.com/DfJUDh8HNu
— John Burn-Murdoch (@jburnmurdoch) June 24, 2018
Research
Detecting Sarcasm
Detecting Sarcasm with Deep Convolutional Neural Networks https://t.co/C05UdMjCoe pic.twitter.com/q50x9QqXhD
— KDnuggets (@kdnuggets) June 24, 2018
Atari Bowling
This program gets a score of 162 in Atari Bowling, which is now the new state-of-art for Bowling beating RUDDER's previously held state-of-art of 108. I didn't have a lot of resources so I only did Bowling. I hope the community can continue investigating this new type of AI. pic.twitter.com/1T3O1AH5qu
— Sherjil Ozair (@sherjilozair) June 24, 2018
Tutorials / Reviews
New blog post: Kaggleβs Yelp Restaurant Photo Classification Competition, https://t.co/px5xDfQire Style: Part 1 https://t.co/Wz6sth1Dpd
— Nick Johnson (@HarveyNick) June 24, 2018
Notes from CVPR 2018 - Day 1
Sharing my notes from CVPR 2018 - Day 1 https://t.co/5zgonAkiqE
— erika menezes (@erikadmenezes) June 24, 2018
Quantizing Deep Convolutional Networks
My colleague Raghu has just released "Quantizing deep convolutional networks for efficient inference" - https://t.co/D87ziflTqd
— Pete Warden (@petewarden) June 22, 2018
This white paper covers practical quantization approaches for most common CNNs in @TensorFlow, I think it will be super useful!
Data Manipulation in R
ICYMI, π import β¨ analyze:
— Mara Averick (@dataandme) June 25, 2018
"Data Manipulation in R" π©βπ» @TheStephLockehttps://t.co/sP8MKzbmin #rstats #tidyverse (feat. @LVaudor's π visuals) pic.twitter.com/Ix6jnRwsLS
Miscellaneous
Advice to graduate students, beginning with "A PhD is not a picnic" https://t.co/gWzeYPwv7r pic.twitter.com/I2978L4AyB
— Ash Jogalekar (@curiouswavefn) June 19, 2018
Glad people are thinking and talking more about the risks of face recognition lately, but important to remember that it's only one of many emerging computer vision tools. Others with similar implications include action recognition, emotion recognition, video summarization, etc.
— Miles Brundage (@Miles_Brundage) June 24, 2018
The more econometrics I learn, the less I trust any given estimate that's not a simple difference in means from an experiment.
— Tatyana Deryugina (@TDeryugina) June 23, 2018
AI2 Reasoning Challenge
Congratulations to Yuyu Zhang, Hanjun Dai, Kamil Toraman, & Le Song on achieving a new highest score of 31.7% on the AI2 Reasoning Challenge (ARC) dataset! Can you top that? π Learn more on the ARC webpage: https://t.co/rgQx5NynIu #AI2 pic.twitter.com/Q0lllcOzxI
— Allen Institute for Artificial Intelligence (AI2) (@allenai_org) June 21, 2018