On Being a Data Skeptic – O’Reilly Media

Tim O'Reilly 2005 Where 2.0 Conference1
Tim O’Reilly 2005 Where 2.0 Conference1 (Photo credit: Wikipedia)

“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.

via On Being a Data Skeptic – O’Reilly Media.

5 Data Science Sins To Beware | Big Data

Big Data
Big Data (Photo credit: Kevin Krejci)

OK, perhaps our fire-and-brimstone headline goes a bit overboard. Then again, maybe it is time for a dose of data science atonement, particularly if youre guilty of any of the five deadly sins summarized below.

According to Michael Walker, founder and president of the nonprofit Data Science Association, a professional organization of data scientists with more than 500 members, these big-data sins are all too common. In fact, the Association’s recently pennedCode of Professional Conduct is designed to establish a set of ethical standards for the burgeoning data-science industry.

Not all big-data professionals are guilty of the five deadly sins, of course, which Walker summarized in a phone interview withInformationWeek. So here they are. Do any of these data-science transgressions hit home?

via 5 Data Science Sins To Beware | Big Data.