\
  The most prestigious law school admissions discussion board in the world.
BackRefresh Options Favorite

Really good longread on data science, machine learning, AI etc.

https://logicmag.io/01-interview-with-an-anonymous-data-scie...
Glittery bipolar roommate
  12/11/17
I hoap that there are meta level safeguards....ie algos can ...
mauve state
  12/11/17
Thx
Twisted dog poop
  12/11/17
...
mauve state
  12/11/17
rofl I actually think this is going to be a huge point ...
Glittery bipolar roommate
  12/11/17
...
Fear-inspiring Green Crackhouse
  12/11/17
data is racist bro
Glittery bipolar roommate
  12/11/17
...
Twisted dog poop
  12/11/17
Even without considering the "forbidden" metric, t...
Ruddy Passionate Hospital Generalized Bond
  12/11/17
...
Racy Elastic Band
  12/11/17


Poast new message in this thread



Reply Favorite

Date: December 11th, 2017 9:04 PM
Author: Glittery bipolar roommate

https://logicmag.io/01-interview-with-an-anonymous-data-scientist/

For people who are less familiar with these terms, how would you define data science, machine learning, and artificial intelligence? Because as you mentioned, these are terms that float around a lot in the media and that people absorb, but it’s unclear how they fit together.

It’s a really good question. I’m not even sure if those terms that you referenced are on solid ground themselves.

I’m friends with a venture capitalist who became famous for coining the phrase “machine intelligence,” which is pretty much just the first word of “machine learning” with the second word of “artificial intelligence,” and as far as I can tell is essentially impossible to distinguish between either of those applications.

I would say, again, “data science” is really shifty. If you wanted a pure definition, I would say data science is much closer to statistics. “Machine learning” is much more predictive optimization, and “artificial intelligence” is increasingly hijacked by a bunch of yahoos and Elon Musk types who think robots are going to kill us. I think artificial intelligence has gotten too hot as a term. It has a constant history since the dawn of computing of over-promising and substantially under-delivering.

(http://www.autoadmit.com/thread.php?thread_id=3825400&forum_id=2#34894088)



Reply Favorite

Date: December 11th, 2017 9:07 PM
Author: mauve state

I hoap that there are meta level safeguards....ie algos can only get so efficent at parsing large data sets ...backdoors are always possible ...something like that because everything is being digitized...

(http://www.autoadmit.com/thread.php?thread_id=3825400&forum_id=2#34894098)



Reply Favorite

Date: December 11th, 2017 9:07 PM
Author: Twisted dog poop

Thx

(http://www.autoadmit.com/thread.php?thread_id=3825400&forum_id=2#34894104)



Reply Favorite

Date: December 11th, 2017 9:10 PM
Author: mauve state



(http://www.autoadmit.com/thread.php?thread_id=3825400&forum_id=2#34894118)



Reply Favorite

Date: December 11th, 2017 9:16 PM
Author: Glittery bipolar roommate

rofl

I actually think this is going to be a huge point of contention moving forward. I talked to a guy who used to work for one of these companies. Not one of the ones I mentioned, a different one. And one of their shticks was, “Oh, we're going to use social media data to figure out if you're a great credit risk or not.” And people are like, “Oh, are they going to look at my Facebook posts to see whether I've been drinking out late on a Saturday night? Is that going to affect my credit score?”

And I can tell you exactly what happened, and why they actually killed that. It's because with your social media profile, they know your name, they know the name of your friends, and they can tell if you're black or not. They can tell how wealthy you are, they can tell if you're a credit risk. That's the shtick.

And my consistent point of view is that any of these companies should be presumed to be incredibly racist unless presenting you with mountains of evidence otherwise. Anybody that says, “We're an AI company that's making smarter loans”: racist. Absolutely, 100%.



(http://www.autoadmit.com/thread.php?thread_id=3825400&forum_id=2#34894159)



Reply Favorite

Date: December 11th, 2017 9:42 PM
Author: Fear-inspiring Green Crackhouse



(http://www.autoadmit.com/thread.php?thread_id=3825400&forum_id=2#34894300)



Reply Favorite

Date: December 11th, 2017 9:42 PM
Author: Glittery bipolar roommate

data is racist bro

(http://www.autoadmit.com/thread.php?thread_id=3825400&forum_id=2#34894304)



Reply Favorite

Date: December 11th, 2017 9:44 PM
Author: Twisted dog poop



(http://www.autoadmit.com/thread.php?thread_id=3825400&forum_id=2#34894308)



Reply Favorite

Date: December 11th, 2017 9:49 PM
Author: Ruddy Passionate Hospital Generalized Bond

Even without considering the "forbidden" metric, the data will end up according with the stereotype--that's the reason they are stereoptypes

(http://www.autoadmit.com/thread.php?thread_id=3825400&forum_id=2#34894342)



Reply Favorite

Date: December 11th, 2017 9:47 PM
Author: Racy Elastic Band



(http://www.autoadmit.com/thread.php?thread_id=3825400&forum_id=2#34894324)