Catalog Search Results
Author
Pub. Date
[2022]
Language
English
Description
You know less than you think you do - about what makes you healthy, what makes you rich, who you should date, where you should live. You know less than you think you do about how to raise your children, or, for that matter, whether you should have children in the first place. Seth Stephens-Davidowitz showed how big data is revolutionising the social sciences. He shows how big data can help us find answers to some of the most important questions we...
Pub. Date
2014.
Language
English
Description
IT professionals around the globe are now being challenged to manage, organize and analyze these vast data sets strategically; to identify new business trends, conduct highly-advanced product research and even predict threats to enterprise security. This report will introduce and explore the world of "Big Data" and offer advice and best practices that will help professionals understand and make the most of this incredible organizational resource....
Author
Pub. Date
[2023]
Language
English
Description
"From facial recognition--capable of checking people into flights or identifying undocumented residents--to automated decision systems that inform who gets loans and who receives bail, each of us moves through a world determined by data-empowered algorithms. But these technologies didn't just appear: they are part of a history that goes back centuries, from the census enshrined in the US Constitution to the birth of eugenics in Victorian Britain to...
Author
Pub. Date
2017.
Language
English
Description
In Nabokov's Favorite Word Is Mauve, statistician and journalist Ben Blatt brings big data to the literary canon, exploring the wealth of fun findings that remain hidden in the works of the world's greatest writers. He assembles a database of thousands of books and hundreds of millions of words, and starts asking the questions that have intrigued curious word nerds and book lovers for generations: What are our favorite authors' favorite words? Do...
Author
Pub. Date
[2021]
Language
English
Description
"A brilliant, revelatory account of the Cold War origins of the data-mad, algorithmic twenty-first century, from the author of the acclaimed international bestseller, These Truths. The Simulmatics Corporation, founded in 1959, mined data, targeted voters, accelerated news, manipulated consumers, destabilized politics, and disordered knowledge--decades before Facebook, Google, Amazon, and Cambridge Analytica. Silicon Valley likes to imagine it has...
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