Remove 2001 Remove Publishing Remove Risk Remove Statistics
article thumbnail

Reclaiming the stories that algorithms tell

O'Reilly on Data

In 2001, just as the Lexile system was rolling out state-wide, a professor of education named Stephen Krashen took to the pages of the California School Library Journal to raise an alarm. The report has pages of careful caveats, but in the end it treats these risk-adjusted ratios as a good measure of a surgeon’s performance.

Risk 355
article thumbnail

Data Science, Past & Future

Domino Data Lab

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. You see these drivers involving risk and cost, but also opportunity. I can point to the year 2001. Tukey did this paper. All righty.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Themes and Conferences per Pacoid, Episode 5

Domino Data Lab

What are the projected risks for companies that fall behind for internal training in data science? Recently the World Economic Forum published “ The Future of Jobs Report 2018.” Publishing and peer review. Publishing and peer review are vital to learning. In business terms, why does this matter ?

article thumbnail

Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Rather than publish an agenda as most technology conferences do, why not let people mingle, discuss, and propose topics and possible sessions? Consider the following timeline: 2001 – Physics grad students are getting hired in quantity by hedge funds to work on Wall St. Proposed sessions get stuck onto a wall within an hour or so.

article thumbnail

Data Science at The New York Times

Domino Data Lab

In 2001, Bill Cleveland writes this article saying, “You are doing it wrong.” You can sleep at night as a data scientician and you know you’re not building a random number generator, but the people from product, they don’t want to know just that you can predict who’s going to be at risk.