On Being a Data Skeptic

by Cathy O'Neil

Overview

"Data is here, it's growing, and it's powerful." Author Cathy O'Neil argues that the right approach to data is skeptical, not cynical––it understands that, while powerful, data science tools often fail. Data is nuanced, and "a really excellent skeptic puts the term 'science' into 'data science.'" The big data revolution shouldn't be dismissed as hype, but current data science tools and models shouldn't be hailed as the end-all-be-all, either.

Product Details

ISBN-13:	9781491947241
Publisher:	O'Reilly Media, Incorporated
Publication date:	09/30/2013
Sold by:	Barnes & Noble
Format:	eBook
Pages:	28
Sales rank:	558,525
File size:	1 MB

About the Author

Cathy O’Neil earned a Ph.D. in math from Harvard, was postdoc at the MIT math department, and a professor at Barnard College where she published a number of research papers in arithmetic algebraic geometry. She then chucked it and switched over to the private sector. She worked as a quant for the hedge fund D.E. Shaw in the middle of the credit crisis, and then for RiskMetrics, a risk software company that assesses risk for the holdings of hedge funds and banks. She is currently a data scientist at Johnson Research Labs, writes a blog at mathbabe.org, and is involved with the Alternative Banking group (http://altbanking.net/) of Occupy Wall Street.