This is the kind of thing people mean when they bring up the human aspect of algorithms and automated systems.
— Mikhail Popov (@bearloga) May 29, 2018
Someone made that decision, either carelessly or intentionally, to exclude PR from US news in some config file somewhere.
The consequences of this are…profound, imho. https://t.co/XdYOEH3p1C
Important advice from @petewarden: "It may seem obvious, but your very first step should be to randomly browse through the training data you’re starting with. Copy some of the files onto your local machine, and spend a few hours previewing them." https://t.co/ds2oxTqpEB
— Peter Skomoroch (@peteskomoroch) May 29, 2018
No GANs were harmed in the making of this buzzword (which I may not have invented.) Regardless: Big Empiricism seems like an interesting force in AI research, though "big" may be more due to $$$ and rubbish traits of current algos rather than specific scientific innovation. https://t.co/bPBRxH8yCK
— Jack Clark (@jackclarkSF) May 29, 2018
The @ICRC is using @Twitter data to anticipate and respond to humanitarian crises. Here's how. https://t.co/LkyWBO4NkO pic.twitter.com/3v7YoQgwIc
— Devex (@devex) May 29, 2018
Don’t worry if your results aren’t significant.
— Nihilist Data Scientist (@nihilist_ds) May 29, 2018
It’s likely that the phenomenon you’ve dedicated your life towards studying is so noisy and hard to measure that nothing of subtance can be said about it at all.
It’s not your fault, it’s just hopeless, that’s all!
Another existential risk to auditors: algorithms that neither companies nor auditors truly understand but which are vital to the business model. Auditors need to audit algorithms (including their own). https://t.co/imh3frwyA9
— Cathy O'Neil (@mathbabedotorg) May 29, 2018
In Part III of my interview with Erik Walenza for his @IotoneHQ podcast we get into the challenges of building AI products for industrial customers, and and the importance of immediate value and trust creation. https://t.co/UbH5aJ9qkf
— Drew Conway (@drewconway) May 29, 2018
We need an internal theory of change when trying to influence management. Dilbert has useful advice on what works. https://t.co/4YGZsHjLvQ pic.twitter.com/r87nkfC1DZ
— Duncan Green (@fp2p) May 29, 2018
My universal directory structure, forged from years of bad organization:
— Micah Allen (@micahgallen) May 29, 2018
/Projects
.../inProgress
....../ProjectName
.........../docs
.........../code
.........../data
.........../figures
.../published
.../submitted
You're welcome.
Facebook is inviting research proposals on crisis informatics and the role of social media in disaster response and recovery: https://t.co/taQtlDp7Py Please consider submitting a proposal!
— Lada Adamic (@ladamic) May 29, 2018
That does it. I am officially switching back to “Statistician”. pic.twitter.com/qpHO1qXpzk
— David Smith (@revodavid) May 29, 2018
Amazing use of data+tech. Hats off to @codeforamerica https://t.co/cWg2eEbcEp
— dj patil (@dpatil) May 29, 2018
