Cathy O'Neil

5 statements across 2 episodes · 0 bullish · 2 bearish · 1 people on the record · first statement Dec 5, 2013 by Cathy O'Neil · said 5 times in 3 episodes since 2014 · across every show →

On the record as a speaker too: Cathy O'Neil's record, appearances and statements → this page counts the times other people say the name.

Mentions by year

brought up most by Natalie Evans-Harris (2), Gary Marcus (2), Rachel Schutt (1)

tap a year for its mentions
001121201420152016201720182019episodesmentions
011201420152016201720182019episodes it came up in
0010.521201420152016201720182019episodesmentions per episode

every mention, scene by scene, with the transcript →

Everything said about Cathy O'Neil, oldest first

Dec 5, 2013 negative
Insight
Cathy O'Neil: Data scientists must reject roles that treat them as implementers
“When mathematicians ask me how do you become a data scientist, I give them a lot of advice, but one piece of advice I have is if you interview with a business who thinks that you're an implementer and not a business person, then don't take that job.”
Cathy O'Neil Dec 5, 2013 ▶ 58:18 Panel discussion // Data Driven NYC #12 // Jan 2013
Dec 5, 2013
Insight
O'Neil: The hardest data science role is conveying fundamental uncertainty
“The hardest role you have with data scientists, and this is when you get the label negative, is when you're saying, we actually don't know the answer to this, and you don't either, and no one knows the answer, and we can't pretend to know the answer.”
Cathy O'Neil Dec 5, 2013 ▶ 50:35 Panel Discussion // Data Driven #16 // May 2013
Dec 5, 2013
Insight
Cathy O'Neil: Bad data science stems from using algorithms without understanding them
“I think a lot of bad data science happens because people are like, I don't really know how this algorithm works. I'm hoping when I press this button, something good comes out. And look, it converged, so it must be okay.”
Cathy O'Neil Dec 5, 2013 ▶ 6:13 Panel Discussion // Data Driven #16 // May 2013
Dec 5, 2013 negative
Opinion
O'Neil: Data science is a war of moneyed interests against vulnerable people
“I think of data science as And the general modelization of everything in sight, including education, including getting a job insurance, health, it's a war. And we're losing. Like we are, this is a war of the people who have money and can go hire data scientist…”
Cathy O'Neil Dec 5, 2013 ▶ 37:10 Panel Discussion // Data Driven #16 // May 2013
Dec 5, 2013
Insight
O'Neil: Data problems that bypass feature selection will not yield financial returns
“Feature selection is always gonna be very important. If you have something that's so easy to answer that you don't have to care about feature selection, you're not gonna make any money doing it.”
Cathy O'Neil Dec 5, 2013 ▶ 52:50 Panel Discussion // Data Driven #16 // May 2013
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 400 conversations transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.