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.
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- ade adetayo
Every data scientist and MLEngineer should read this
Mr Hand goes into quite a bit of details of what can go wrong with data.
It’s very well written and narrated. Many of the issues will be known by old hands at data. But nice to have all the answers in the same place
very informative and practical guide
I got a lot cro. this book - very informative book for those starting out on a data science path.