Some algorithms look dangerously similar to that monster stumbling around England… Andrew Smith writes in The Guardian: “Here’s the problem. Between the “dumb” fixed algorithms and true AI lie the problematic halfway house we’ve already entered with scarcely a...
Big data has the answers. Lots of good ones, and lots of bad ones, too. Sometimes separating the wheat from the chaff requires disciplines from outside the realm of data science. Bill Luker writes in the Predictive Analytics Times: Big data is and has been less easy...
A movement called Open Science has been stirring debate in the scientific community about whether raw scientific data should be made available to everyone who wants to use it. Better data makes for better science. But the issue isn’t so simple. Data has monetary...
Moogsoft CEO Phil Tee likened the pursuit of data by enterprises to a Ponzi scheme. “The more data you have, the more data you need to understand the data you have,” said Tee who also claimed that “more data means less understanding.” Tee said that the...
DataCamp’s Chief Data Scientist David Robinson set out to use his tidytext package (co-authored with Julia Silge) to identify the author of the anonymous op-ed that appeared in the New York Times last week. Robinson catalogues the difficult problems he faced in his...