Giving Thanks — Monday links
As the year 2018 draws to a close, I wanted to give thanks to some of the people on Twitter who enlightened and inspired me during the year. In no particular order…
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@jeremyphoward - an absolute must-follow for anyone interested in deep learning and machine learning
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@UrbanFoxxxx - always posts the coolest photos and artwork of urban environments
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@rasbt - another must-follow for anyone learning machine learning
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@audreywatters - a self-proclaimed “ed-tech Cassandra,” she provides a needed contrarian view of tech’s impact on education
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@benthompson - absolutely the best perspective on the business of tech
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@PatrickMahomes5 - a young man of 23 years who gives hope to this life-long kansas city chiefs fan (yes, i’m a big huge kc fan! 😎)
And now on to the links…
1) Blog post from Uber on how they’re scaling machine learning.
(now that most big enterprises are aware of ML and using it in some form, these issues should get increasingly more attention
2) The above-mentioned Sebastian Raschka explains the use of statistical tests in model evaluation and model selection.
3) Even if we don’t get everyone to use self-driving cars all at once, the actions of the few could override the actions of the many.
Yes, congestion causes traffic jams. But so do a very surprisingly small number of drivers.
— Frank Chen (@withfries2) November 17, 2018
See what happens when a few self-driving cars powered by #ReinforcementLearning hit simulated roads and STOP 👏🏼👏🏼 TAPPING 👏🏼👏🏼 THEIR 👏🏼👏🏼 BRAKES https://t.co/obnaawNhmF
(welcome_our_robot_overlords: and free us from the jamming of traffic)
4) @morganhousel writes 5000 words on the story of the U.S economy since the end of World War II.
(key_awaytaking: things go bad when expectations exceed reality)
5) Cool collection of Japanese firework illustrations made available by the city of Yokohama.
(colossal_understatement: follow @Colossal)