Big Data has ratings and reviews. Morcan The STREAM TONE by T. Gilling Wikinomics by Don Tapscott Big Data by Viktor Mayer-Schönberger. The key to answering these questions, and many more, is big data. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, Viktor Mayer-Schönberger, Kenneth Cukier. Viktor Mayer-Schönberger, professor of internet governance and regulation at the University of Oxford—and this week’s Big Data & Analytics Hero—believes that.
|Published (Last):||27 August 2016|
|PDF File Size:||1.30 Mb|
|ePub File Size:||13.40 Mb|
|Price:||Free* [*Free Regsitration Required]|
To see what your friends thought of this book, please sign up. They will know you were having coffee in various cafes about town and they will also know that Jack aka The Butcher Badass was in those cafes at those same times — how do you explain that, you international terrorist in waiting?
Beside that, follow author on twitter also good with me: The key to answering these questions, and many more, is big data. There’s a problem loading this menu right now. I originally gave it four stars but now just three. Very thought provoking and well considered, Big Data was cleverly structured.
Big Data by Viktor Mayer-Schönberger, Kenneth Cukier
In he joined the faculty of Harvard Kennedy Schoolwhere he worked and ,ayer-schonberger for ten years. Add to that the tons of personal data relating to whenever we do on our phone, like our location, what and how we are reading, listening, surfing the net, using different apps, etc.
A must-read for anyone in business, information technology, public policy, intelligence, and medicine. Open Preview See a Problem?
Data Science for Business: Please try again later. Mapping flu outbreaks by triangulating google search for flu remedies for example. Buy the selected items together This item: The more efficient trucking routes have also led to less traffic accidents.
A must read for those who handle data on regular basis, others may skip it after reading first two and last three chapters. I would not recommend this book. Yet the picture of the pandemic that emerged was always a week or two out of date.
Big data is not about trying to “teach” a computer to “think” like humans. I’m not sold on all the claims made by this book. Though dat has been described as part of the branch of computer science called artificial intelligence, and more specifically, an area called machine learning, this characterization is misleading. Big Data is the first big book about the next big thing.
A very good non-technical analysis of Big Data and how this new wave is transforming not only businesses but also personal lives. If not the first, this was certainly an early application of Big Data, which the authors describe mayer-chonberger follows: Similar examples are found in some US states where parole boards deny parole to prisoners based on such predictive analysis of future behavior.
How Algorithms Came to Rule Our Worldit gently sidesteps the close but oh so uncomfortable issue of technological unemployment.
Follow the Authors
After leaving secondary school in his hometown, he studied law for seven terms at the University viltor Salzburg. To accuse a person of some possible future behavior is to negate the very foundation of justice: That’s a lot of data!
Return to Book Page. But when you are stuffed silly with data, you can tap that instead, and to greater effect.
As with any new methodology, the consequences of Big Data can be positive or negative, but are often unintended. Reinventing Capitalism in the Age of Big Data.
But inJerzy Neyman, a Polish statistician, forcefully showed that such an approach leads to huge errors.
For the authors, a good deal of oversight will be needed in order to ensure that the potential abuses of big data are curbed. All their system did was look for correlations between the frequency of certain search queries maysr-schonberger the spread of the flu over time and space. And there are quite a few of mayeer-schonberger. I would like to read a clearly defined statement about areas of application and other areas.
You are being manipulated, but in ways you can never guess. He later makes a argument counter to this.