Facebook when its platform is a driving force for genocide vs Facebook when it faces possible regulation pic.twitter.com/XrA8uHzuDY
— Max Fisher (@Max_Fisher) February 17, 2021
Facebook when its platform is a driving force for genocide vs Facebook when it faces possible regulation pic.twitter.com/XrA8uHzuDY
— Max Fisher (@Max_Fisher) February 17, 2021
Writing tests can often feel like a waste of time...
— Jim Hester (@jimhester_) February 16, 2021
tests let you refactor your code with more confidence, so you can later improve the
readability, performance or structure.
They also ensure external contributions are correct.
tests help your future self a lot, use them!
The smartest person in the room doesn't need to be the leader of the team and vice versa.
— Andrew Trask (@iamtrask) February 16, 2021
20k people visit my site a day for tutorials like “how to rename a column” and “how to remove white space from a string” https://t.co/xwyBYfXDE5
— Chris Albon (@chrisalbon) February 14, 2021
Help! What precisely is "inductive bias"? Some ML researchers are in the opinion that the machine learning category of ‘inductive biases’ can allow us to build a causal understanding of the world. My Ladder of Causation says: "This is mathematically impossible". Who is right? 1/
— Judea Pearl (@yudapearl) February 14, 2021
I have worked on this problem for a long time at this point. Here is the best strategy I've come up with:
— Chris Albon (@chrisalbon) February 13, 2021
1. Remove educational requirements in job postings. No "CS degree or similar" etc.
2. Read the cover letter, let folks explain why they are right for the role.
1/n https://t.co/Lnee1f0SqH
Now that it's archived, it really seems a shame that the great work that went into Swift for Tensorflow didn't go into Julia instead: https://t.co/APzeNEXuzz
— John Myles White (@johnmyleswhite) February 12, 2021
Rather than fall for the bait of certain prominent members of the ML community who are known for their trollish remarks anyway, I'd just like to remind everyone that DeepMind continues to put out tons of impactful research *and* gives employees generous European-length holidays.
— David Pfau (@pfau) February 11, 2021
This is quite different to my experience.
— Neil Lawrence (@lawrennd) February 11, 2021
My breakthrough progress always occurred through inspiration.
I needed time and space to think and interact with colleagues and students.
Perspiration does follow ... but I haven't worked a 90 hr week since I left oil rigs in 1997. https://t.co/8xwhnRQ4kv
🤯🤯🤯
— Ines Montani 〰️ (@_inesmontani) February 10, 2021
🅰️ GitHub: https://t.co/eGrTsbGOPy
🅱️ GitHub1s: https://t.co/fhoi51O1xX https://t.co/BlAZMGjalj
I hope AI ethics teams are following this topic. I can’t help think that if I had had to follow strict admission rules, I would never have got into university. What happens to the outliers? Are models dealing with the complex diversity of minds? https://t.co/PMa7xfmvSR
— Nando de Freitas (@NandoDF) February 8, 2021
Statistical terms: what they really mean
— Maarten van Smeden (@MaartenvSmeden) February 6, 2021
Multicolinearity— they all look the same
Heteroscedasticity— the variation varies
Attenuation— being too modest
Overfitting— too good to be true
Confounding— nothing is what it seems
P-value— it’s complicated