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Louis Luangkesorn
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"2,250 square miles of coastal Louisiana is expected to be lost" in the next 50 years. Louisiana Gov. John Bel Edwards has declared a state of emergency over the state's rapidly eroding coastline. Oh, and the US Navy is desperately worried about 12 new Russian bases on the nearly ice-free Arctic.

There's your "politically correct science."
- From David Brin
"2,250 square miles of coastal Louisiana is expected to be lost" in the next 50 years. Louisiana Gov. John Bel Edwards has declared a state of emergency over the state's rapidly eroding coastline. Oh, and the US Navy is desperately worried about 12 new Russian bases on the nearly ice-free Arctic.

There's your "politically correct science." Morons.

Everybody march on Saturday.

http://www.npr.org/sections/thetwo-way/2017/04/20/524896256/louisianas-governor-declares-state-of-emergency-over-disappearing-coastline

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Data analysis at work. Identifying fake qualifiers to the Boston Marathon.

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In this article, I present several approaches beyond the usual error measures and assessment plots for visualizing data and interpreting machine learning models and results. Users are encouraged to mix and match these techniques to best fit their own needs.

Wherever possible, “interpretability” of each technique in this article is deconstructed into more basic components—complexity, scope, understanding, and trust—which I will first outline below.

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HT: David Smith (Revolution R/Microsoft) Potential class discussion topic

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If it were easy, everyone would do it.
But it’s not. It’s hard.
To do this kind of work takes more than most are willing to give.

It takes compassion.
It takes courage.
It takes commitment.
It takes a desire to make people safer and the world better.
We all took our own paths to get here – to get into this line of work.
But once we did we found that we had become part of something important.
Something special. Something bigger than ourselves.
We learned just how much our work matters.
How much it makes a difference.
How life changing it can be.
We know it from the eyes of a man we saved from sudden cardiac arrest.
Hear it in a woman’s soft-spoken “thank you” as she’s pulled from a horrific car wreck.
Feel it in ourselves when we tell that woman’s child that their mother is going to be all right.
We see it, too. In the faces of the dedicated EMS providers pictured here.

http://www.emsstrong.org/faces-of-ems/

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