Catalog Search Results
Author
Language
English
Description
Data is fundamental to the modern world. From economic development to health care to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, because it treats men as the default and women as atypical, bias and discrimination are baked into our systems. And women pay tremendous costs for this bias, in time, money, and often with their lives. The author...
Author
Language
English
Description
A revelatory exploration of the hottest trend in technology and the dramatic impact it will have on the economy, science, and society at large. Which paint color is most likely to tell you that a used car is in good shape? How can officials identify the most dangerous New York City manholes before they explode? And how did Google searches predict the spread of the H1N1 flu outbreak? The key to answering these questions, and many more, is big data....
Author
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...
5) Data-ism: the revolution transforming decision making, consumer behavior, and almost everything else
Author
Language
English
Formats
Description
A technology reporter for the "New York Times" traces the rise of Big Data and explains how individuals and institutions will need to exploit, protect, and manage their data to stay competitive in the coming years.
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...
Author
Language
English
Formats
Description
Businesses used to contact buyers by placing advertisements in newspapers, magazines, and on television and radio. Now they monitor your online shopping and product browsing habits. This book looks as the ways businesses spy on patrons, examines the reasons the marketplace has changed, argues the pros and cons of keeping tabs on cyber shoppers, and outlines the advantages corporate mining gives to larger companies.
Author
Pub. Date
2017.
Language
English
Description
We are Data" explores what identity means in an algorithmic age: how it works, how our lives are controlled by it, and how we can resist it. Algorithms are everywhere, organizing the near limitless data that exists in our world. Derived from our every search, like, click, and purchase, algorithms determine the news we get, the ads we see, the information accessible to us and even who our friends are. These complex configurations not only form knowledge...
Author
Pub. Date
2018.
Language
English
Description
"Mine the rich data tucked away in popular social websites like Twitter, Facebook, LinkedIn, Instagram, and GitHub. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media--who's connecting with whom, what they're talking about, and where they're located--using Python code examples, Jupyter notebooks, or Docker containers."--Back cover.
Author
Pub. Date
[2014]
Language
English
Description
"In Hacking Happiness, futurist and contributing Mashable writer John C. Havens introduces you to your "quantified self"-your digital identity represented by gigabytes of data produced from tracking your activities on your smartphone and computer. Harvested by megacorporations such as Google, Facebook, and Amazon, Havens argues that companies gather this data because of its immense economic value, encouraging a culture of "sharing" as they hoard the...
Didn't find it?
Can't find what you are looking for? Try our Materials Request Service. Submit Request