
Dark Data
- Author David J. Hand
- Narrator David J. Hand
- Publisher Princeton University Press
- Run Time 9 hours and 45 minutes
- Format Audio
- Genre Computing and Information Technology, Data mining, Databases.
Titles Purchased
- 1-5
- 6-10
- 11-15
- 16-20
- Over 20
Price p/Title
- £7.99
- £6.99
- £5.99
- £4.99
- £3.99
Listen to a sample
What to expect
This audiobook narrated by David Hand offers a practical guide to making good decisions in a world of missing data
In the era of big data, it is easy to imagine that we have all the information we need to make good decisions. But in fact the data we have are never complete, and may be only the tip of the iceberg. Just as much of the universe is composed of dark matter, invisible to us but nonetheless present, the universe of information is full of dark data that we overlook at our peril. In
Dark Data, data expert David Hand takes us on a fascinating and enlightening journey into the world of the data we
don't see.
Dark Data explores the many ways in which we can be blind to missing data and how that can lead us to conclusions and actions that are mistaken, dangerous, or even disastrous. Examining a wealth of real-life examples, from the Challenger shuttle explosion to complex financial frauds, Hand gives us a practical taxonomy of the types of dark data that exist and the situations in which they can arise, so that we can learn to recognize and control for them. In doing so, he teaches us not only to be alert to the problems presented by the things we don't know, but also shows how dark data can be used to our advantage, leading to greater understanding and better decisions.
Today, we all make decisions using data.
Dark Data shows us all how to reduce the risk of making bad ones.
Critics Review
“You need to read [Dark Data], and be convinced by David’s reasoning and his examples of cases in which unseen or unreported data play a critical and sometimes even a fatal role. You are likely to walk away with the feeling that the term dark data is indeed a very effective one to arouse both curiosity and suspicion, mixed with happiness that finally a great term was coined by a statistician—and sadness that the statistician is not you.”—Xiao-Li Meng, IMS Bulletin
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