The evolution of #datascience, #dataengineering, and #AI
— KDnuggets (@kdnuggets) May 31, 2018
The @OReillyMedia Data Show #Podcast: A special episode to mark the 100th episode @bigdata @pacoid https://t.co/QKvaL6CFX3 pic.twitter.com/By87CU0fZC
The evolution of #datascience, #dataengineering, and #AI
— KDnuggets (@kdnuggets) May 31, 2018
The @OReillyMedia Data Show #Podcast: A special episode to mark the 100th episode @bigdata @pacoid https://t.co/QKvaL6CFX3 pic.twitter.com/By87CU0fZC
Very interesting essay by Aaron Hertzmann about the role of technology in art and on the question of whether computers coukd be artists.
— Yann LeCun (@ylecun) May 31, 2018
Aaron argues that art is a social activity, and therefore machine can't really... https://t.co/c0N3Oq3NEi
Researchers created a series of images showing how different scenes might appear to various pets and pests. Human eyesight is roughly seven times sharper than a cat, 40-60x sharper than a rat or a goldfish, and 100x sharper than a fly or a mosquito. https://t.co/rc8DMQ3XAJ pic.twitter.com/m3GZM0Yxrq
— hardmaru (@hardmaru) May 31, 2018
As I've noted before, when reading Nick Bostrom's book "Superintelligence", you can replace "superintelligence" with "unregulated capitalism" and it makes perfect sense.
— Thomas G. Dietterich (@tdietterich) May 31, 2018
The real scandal: why do all illustrations of articles about AI have to be horrible clichés?
— Yann LeCun (@ylecun) May 31, 2018
At least they lost the bad habit of slapping a Terminator picture on every single article.... https://t.co/CtIRISGe4o
PyCharm users can now run mypy super fast using a plugin written by @ILevkivskyi: https://t.co/qtHuMU8RrB #PyCharm #mypy
— Guido van Rossum (@gvanrossum) May 30, 2018
Only the traffic collisions of Great Britain. #datavizhttps://t.co/pcWusJHH2g pic.twitter.com/2cTvDWSrLV
— Randy Olson (@randal_olson) May 30, 2018
Are CNNs like the brain?
— Jeremy Howard (@jeremyphoward) May 30, 2018
"Several studies have directly compared the ability of CNNs and previous models of the visual system to capture neural activity. CNNs come out on top" https://t.co/tkpD2Zmfd6
Love this example of the power of #dataviz in machine learning.
— John Burn-Murdoch (@jburnmurdoch) May 30, 2018
Data scientists were 🤔 when image classification model showed high error rates for labelling a certain type of big cat, so they did a cluster plot.
Boom.
(From excellent @petewarden post https://t.co/b6CUT80KYS) pic.twitter.com/qOto4OFIKK
A question that comes up after almost every Enterprise NLP talk is “How do you handle other languages?”. There are many possible approaches, but the unpleasant reality is most businesses will struggle to get even basic models shipped and working in English.
— Peter Skomoroch (@peteskomoroch) May 29, 2018
If AI is a new industrial revolution shouldn't we be... incredibly concerned? The industrial revolution was a time of great chaos and misery for millions of people, and it occurred during a period with less extreme weather and a less connected world.
— Jack Clark (@jackclarkSF) May 29, 2018
False positive and false negative results for facial recognition “are likely to arise disproportionately in relation to people who belong to ethnic minorities in Australia”.
— Dr Belinda Barnet (@manjusrii) May 29, 2018
Weapon of math destruction right there @mathbabedotorg