Calculating standard deviation is a great way to see the variability in a dataset. If you have the means, I highly recommend it.
— Caitlin Hudon 👩💻 (@beeonaposy) May 27, 2021
Calculating standard deviation is a great way to see the variability in a dataset. If you have the means, I highly recommend it.
— Caitlin Hudon 👩💻 (@beeonaposy) May 27, 2021
Despite all the media, academic, and societal interest in AI Ethics—and the clear gaps in what companies are currently doing—this FICO Responsible AI report suggests AI Ethics isn’t a priority for executives at 3/4 of companies: https://t.co/Phl8M907mP pic.twitter.com/zKnLwfUSi2
— Christopher Manning (@chrmanning) May 26, 2021
Gallup asks people around the world whether they have someone to count on for help in times of trouble.
— Max Roser (@MaxCRoser) May 25, 2021
– The map shows the share that answered 'No'.
– The plot below shows the share that answered 'No' in relation to the average income in the country. pic.twitter.com/qTYZBCvd3L
I think every data scientist has a story about a time when someone from product or business with relative power demanded they find a specific pre-determined answer in the data. Data scientists generally push back. How this goes depends on the quality of the org and leadership.
— Hilary Mason (@hmason) May 23, 2021
An experience every data scientist either has had or will have is working for a product manager who has absolutely no concept of data but who insists their conclusions must be correct and it’s the fault of the data scientists for not being smart enough to prove them. https://t.co/oLElFHQEAf
— Emily G (not a newspaper) (@EmilyGorcenski) May 23, 2021
sometimes i think about how people in my field are building systems that directly harm people and how they either don't care to know or, worse, do know but don't care because it's making someone rich
— Rachael Tatman (@rctatman) May 21, 2021
and it just makes me very tired and very sad
The Economist built a model to assess the death toll of the pandemic, corrected for underreporting.https://t.co/fJRSRcxtZy
— Max Roser (@MaxCRoser) May 14, 2021
They come to the conclusion that 10 million have died (with an uncertainty of 7 to 13 million).
The map shows the distribution of the death rate. pic.twitter.com/YEwhkuhaEW
Important analysis on vaccine equity in CA, and how modelling choices can have a huge impact. Using ZIP codes rather than census tracts means >2 million Californians, living in neighborhoods w/ worst health outcomes, may not receive needed additional vaccine supply. https://t.co/eUfvkJIqpz
— Rachel Thomas (@math_rachel) May 6, 2021
Some writing tips from this fascinating interviewhttps://t.co/j5KJVI5pT6 pic.twitter.com/LaIW3bsUJ4
— Sasha Rush (@srush_nlp) May 2, 2021
Every few years in my career in software, I reread this post. https://t.co/IUdMuIIxYh
— Vicki Boykis (@vboykis) April 30, 2021
It's now been almost a year since the New York Times put together this technically impressive yet totally wrong interactive article about how long it would take to get a Covid vaccine. pic.twitter.com/gXzZS5ME2G
— Chris Anderson (@chr1sa) April 26, 2021
Techical breadth vs. depth. From Fundamentals of Software Architecture. pic.twitter.com/mbA3wQTNdM
— ChrisAlbon.com (@chrisalbon) April 15, 2021