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  • Format: ePub

On an average day, humans will amass eight trillion gigabytes of data searching the internet. Seth Stephen-Davidowitz, a former Google data scientist, shows your students how that data can be mined for valuable insight, from the hilarious to the horrifying.
In the spirit of Freakonomics , Everybody Lies challenges our preconceived notions on how people think and explores how big data can be used in new and innovative ways.
Freshman Common Read: Hamline University

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Produktbeschreibung
On an average day, humans will amass eight trillion gigabytes of data searching the internet. Seth Stephen-Davidowitz, a former Google data scientist, shows your students how that data can be mined for valuable insight, from the hilarious to the horrifying.

In the spirit of Freakonomics, Everybody Lies challenges our preconceived notions on how people think and explores how big data can be used in new and innovative ways.

Freshman Common Read: Hamline University


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Autorenporträt
Seth Stephens-Davidowitz is a contributing op-ed writer for the New York Times, a lecturer at The Wharton School, and a former Google data scientist. He received a BA from Stanford and a PhD from Harvard. His research has appeared in the Journal of Public Economics and other prestigious publications. He lives in New York City.

Rezensionen
"This book is about a whole new way of studying the mind . . . an unprecedented peek into people's psyches . . . Time and again my preconceptions about my country and my species were turned upside-down by Stephens-Davidowitz's discoveries . . . endlessly fascinating." Steven Pinker, author of The Better Angels of Our Nature