Links van 12 oktober 2016 tot 22 oktober 2016

Rolling Stone’s 500 Worst Reviews of All Time (work in progress) [Page 4] – Rate Your Music
De 500 vreemdste reviews in Rolling Ston — met parels als "Perhaps the worst of the batch, "Perfect Day" is a soft lilter about spending a wonderful day drinking Sangria in the park with his girlfriend, about how it made him feel so normal, so good. He should forget this artsy-fartsy kind of homo stuff and just go in there with a bad hangover and start blaring out his visions of lunar assfuck. That'd be really nice."

Google Has Quietly Dropped Ban on Personally Identifiable Web Tracking – ProPublica
this summer, Google quietly erased that last privacy line in the sand – literally crossing out the lines in its privacy policy that promised to keep the two pots of data separate by default. In its place, Google substituted new language that says browsing habits “may be” combined with what the company learns from the use Gmail and other tools.

10 Modern Software Over-Engineering Mistakes – Medium
Duplication is better than the wrong abstraction

Donald Trump Tattoo – Inked Magazine
Like the enormous Mexican border wall that Trump dreams of, Campbell’s tattoo will grab everyone’s attention and raise your blood pressure one way or the other. “I expect that my tattoo is going to piss off a lot of people,” Campbell said. “But when Trump is in the White House the jerks that made fun of me will see that I was right all along. Although, honestly, I’m still a little worried about what my mom will think. Sorry, mom.”

When is data science a house of cards? | Pinterest Engineering
As data scientists, when we reach an answer, we often communicate that answer and move on. But what happens when there are multiple data scientists with varying answers? The expense of replicating and testing the quality of work often leaves critical business challenges unstaffed. At Pinterest, we lowered the cost of replication to the point that could afford to run an experiment. So we did. We asked nine data scientists and machine learning engineers the same question, in the same setting, on the same day. We received nine different results.

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