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

πŸ‘‹ welcome to "the Twitter," @visdesignlab!
🐦 at the πŸ‘©β€πŸ’»πŸ‘¨β€πŸ’» who brought you UpSetR, and lots o'cool #dataviz research...
πŸ”— https://t.co/E9QJH83Q2w#infovis #visualization pic.twitter.com/sLLKDkQyM5

— Mara Averick (@dataandme) June 24, 2018

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: Kaggle’s 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
This white paper covers practical quantization approaches for most common CNNs in @TensorFlow, I think it will be super useful!

— Pete Warden (@petewarden) June 22, 2018

Data Manipulation in R

ICYMI, πŸ“• import ⇨ analyze:
"Data Manipulation in R" πŸ‘©β€πŸ’» @TheStephLockehttps://t.co/sP8MKzbmin #rstats #tidyverse (feat. @LVaudor's 😍 visuals) pic.twitter.com/Ix6jnRwsLS

— Mara Averick (@dataandme) June 25, 2018

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? πŸ“ˆ 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

@ceshine_en

Inpired by @WTFJHT