Big Data is an excellent primer, and there’s no doubt that its authors are on to something. But what, exactly? Much of the fun comes from watching these two. Big Data,” by Viktor Mayer-Schönberger and Kenneth Cukier, looks at how surveillance has changed. The key to answering these questions, and many more, is big data. “Big data” refers to our Viktor Mayer-Schönberger, Kenneth Cukier. Houghton Mifflin.
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Sep 20, Mohsin Shiraz rated it it was amazing.
Big Data: A Revolution That Will Transform How We Live, Work, and Think by Viktor Mayer-Schönberger
It could have been easily condensed into a magazine article, where I believe this book was initially We measure an enormous amount of data, most seemingly useless.
No trivia or quizzes yet.
They are most informative and important, though you will still find many redundancy in these chapters too, just like the giktor redundant getting redundant in this review. I’m not sold on all the claims made by this book.
Google took the 50 million most common search terms that Americans type and compared the list with CDC data on the spread of seasonal flu between and I get it — big data is awesome and will change everything! How we get the recommendations when we shop anything ranging from books,tickets,clothes,etc.? Little depth is provided about firms like Google or Facebook. By predicting whether the price of an airline ticket was likely to go up or down, and by how much, Farecast empowered consumers to choose when to click the “buy” button.
Upholding the virtue of transparency against itself, Farecast even scored the degree of confidence it had in own predictions and presented that information to users too. Since we have so much data, the quality of individual data points is not important and we can allow inexactness in measurement processes as long as there isn’t a systematic bias.
Does it matter why something happens as much as what precisely is happening? Buying airplane tickets is a good example. This is a lively and entertaining book, taking us on a fascinating journey into the myriad possibilities – or should we say probabilities – dats the future using this technology.
Fourth, they rightly acknowledge that big data raises all kinds of ethical issues, but their analysis lacks depth and critique and pushes a business-friendly, market-orientated line about self-regulation without adequately setting out the pros and cons of such a strategy.
It could have been easily condensed into a magazine article, where I believe this book was mayef-schonberger conceived. With nayer-schonberger, by the time the next pandemic comes around, the world will have a better tool at its disposal to predict and thus prevent its spread. Mar 16, Dr. On the flip side, the authors, in their attempt to explain different aspects of Big Data, tend to get too repetitive.
Big data is not about trying to ‘teach’ a computer to ‘think’ like humans.
Big Data by Viktor Mayer-Schönberger, Kenneth Cukier
But to do that, they needed to know where it already was. We need to be aware of the fact, because some of the unintended consequences of big data are terrifying. All in all the book is a good introduction to an important and interesting topic.
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.
Within days, reporters from the New York Times re-assembled searches to successfully id a particular user a year-old widow from Lilburn, Georgia.
Today, algorithms can be used to translate languages albeit it imperfect and predict everything from crime hotspots to default rates, using data that seems almost unrelated to the matter at hand. If the average price usually increased, the system would recommend buying the ticket right away at the price shown.
Big Data: A Revolution That Will Transform How We Live, Work, and Think
Some have closed down or been purchased by larger companies very much like the situation predicted by the authors more generally. Shocked by the NSA revelations? Third, the book avoids tackling the deep and difficult epistemological questions that arise when a paradigm shift occurs.
However, the authors persuade us that the fundamentals of Big Data were laid down more than a century before the invention of the microprocessor. Way too long and repetitive. I didn’t learn anything new. As such, the era of big data is producing massive, exhaustive, messy datasets that can be mined for insightful information that can be used to identify relationships within the data that can be capitalised upon, such as using the vast quantities of data produced by a supermarket chain about consumers and their transactions to identify patterns of purchases which can then be used to tailor marketing strategies and increase turn-over.
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?
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?