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When you use data to study people, ask "who gains power with this info?" If it's not the people whose data you are using, there's a problem.
When a company raises big $ claiming a machine learning edge and then you get a note from a recruiter trying to hire someone to build it.
Everyone does realize that it's not about teaching people to CODE as much as it is about teaching people to THINK ... right?
You do not want to be an edge case in this future we are building.
OH: "Code for ease of understanding, because someday the loser who is going to have to work on your code will be you."
If you've ever wondered why all digital cameras have a directory called 'DCIM' on their file system, this is why: http://en.wikipedia.org/wiki/Design_rule_for_Camera_File_system …
Ever used evite? Here's the data they are selling about you: http://www.oracle.com/webfolder/assets/cloud-data-directory/index.html#/page/59 … (via @mshron)
The upside of an algorithmic Twitter feed is that now you have a built-in excuse for not having read someone's tweets.
Watching the GOP debate is just like reading the comments.
For a bit of nostalgia, Usborne has 80s programming books for kids as PDFs! http://www.usborne.com/catalogue/feature-page/computer-and-coding-books.aspx … (via @TimelessP) pic.twitter.com/u1xr0QVxqE
Founder at @FastForwardLabs. Data Scientist in Residence at @accel. I ♥ data and cheeseburgers.
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