Google a. Google Flu Trends Let us begin with the information giant Google. As mentioned in the introduction, Google was able apply big data to search terms run through its search engine to track the spread of the H1N1 pandemic in in real time. First, researchers at Google obtained data from the Center for Disease Control and Prevention CDC regarding the spread of the seasonal flu between and loc.
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Kigajora A very nice comparison of the olden methods and by comparing them with the modern ones and explaining the transformation. That is to say, what happens when we have data for all of a given variable, rather than just taking a sampling and extrapolating out findings.
Black Box Thinking Matthew Syed. Still holds up—but not a lot beyond talking at the high-level what can and has been done with big data. Page 1 of 1 Start over Page 1 of 1. The book is informative as well as thought provoking, it may even give you an idea or two to start a new venture of your own. The data simply did not represent the will and determination of the Vietnamese communists to rid themselves of foreign occupation of their land.
Interesting information and research about digital world and problems of digital cuukier. Yet it seems equally clear that the perspectives offered in this book would benefit from a firmer grounding in existing scientific approaches and perspectives, mayer-sschonberger thus at present they may have relatively little utility for the practicing epidemiologist.
Kindle Edition Verified Purchase. The other related danger is to rely on vast quantities of data on a phenomenon which do not represent the phenomena properly but use it anyway to make crucial decisions. Kenneth Cukier But when you are stuffed silly with data, you can tap that instead, and to greater effect.
Sep 22, Liz rated it liked it Shelves: Hardcoverpages. Oxford University Press is a department of the University of Oxford. The key intuition that this book is highlighting is a shift towards greatly increased production of data and greatly increased use of large nearly complete population levels data heil in the management and control of a range of industries.
Want to Read Currently Reading Read. Meanwhile, car companies are beginning to use data from sensors in automobiles to understand which parts are causing problems, and also to understand where and why accidents are happening, so that they may be lessened.
The Empathy Problem Gavin Extence. It only gets three stars because it can be repetitious. The insights that are emerging out of big data are spread out over many areas, and are already impacting several aspects of society. The third is the growing respect for correlations rather than a continuing quest for elusive causality.
Finally, the third shift would be to free us from our search for causality in phenomenon and replace it with correlation. Confounding bias among other types of bias can just as easily erase a true causal effect as create a spurious one. The National Security Agency, long one of the pioneers in this burgeoning but little-appreciated field, has been teaching us — or, cukir, Snowden, The Guardian, and the Washington Post have been teaching us — about the power that resides in gargantuan masses of data.
Kenneth Cukier — Wikipedia I found the technical papers referred at the end of the book much useful than the general content of the book. This is one of those books. It gets annoying some times when even words and sentences are bearing the same essence.
Moreover, public health science is frequently faced with finite resources: Mayer-Schonberger and Cukier make interesting observations about data-crunching techniques — Guardian. TOP 10 Related.
Watched by the Web: Surveillance Is Reborn
By Michiko Kakutani June 10, Google does it. Amazon does it. Walmart does it. And, as news reports last week made clear, the United States government does it. Does what? Amazon uses customer data to give us recommendations based on our previous purchases.
‘Big Data’ by Mayer-Schönberger and Cukier
Kigajora A very nice comparison of the olden methods and by comparing them with the modern ones and explaining the transformation. That is to say, what happens when we have data for all of a given variable, rather than just taking a sampling and extrapolating out findings. Black Box Thinking Matthew Syed. Still holds up—but not a lot beyond talking at the high-level what can and has been done with big data.
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Knowing sensitive facts about one person, or a dozen, may be trivially useful. But analyze the same facts about million people, and you can cure diseases, win elections, or earn billions of dollars, because unpredictable insights emerge when you turn computers loose on vast storehouses of information. My favorite involves the giant retailer Walmart and the notorious breakfast snack Pop-Tarts. Walmart records every purchase by every customer for future analysis.
BIG DATA VIKTOR MAYER-SCHONBERGER KENNETH NEIL CUKIER PDF