92 books
—
141 voters
Big Data Books
Showing 1-50 of 990

by (shelved 51 times as big-data)
avg rating 3.91 — 42,268 ratings — published 2017

by (shelved 50 times as big-data)
avg rating 3.87 — 29,613 ratings — published 2016

by (shelved 48 times as big-data)
avg rating 3.69 — 8,666 ratings — published 2013

by (shelved 34 times as big-data)
avg rating 3.93 — 1,012 ratings — published 2009

by (shelved 30 times as big-data)
avg rating 4.70 — 10,210 ratings — published 2015

by (shelved 27 times as big-data)
avg rating 3.82 — 490 ratings — published 2012

by (shelved 25 times as big-data)
avg rating 3.91 — 566 ratings — published 2013

by (shelved 20 times as big-data)
avg rating 3.73 — 12,421 ratings — published 2014

by (shelved 17 times as big-data)
avg rating 3.97 — 51,612 ratings — published 2012

by (shelved 15 times as big-data)
avg rating 4.15 — 280 ratings — published

by (shelved 15 times as big-data)
avg rating 4.13 — 2,613 ratings — published 2013

by (shelved 15 times as big-data)
avg rating 3.84 — 94 ratings — published 2012

by (shelved 14 times as big-data)
avg rating 4.15 — 718 ratings — published

by (shelved 12 times as big-data)
avg rating 3.41 — 295 ratings — published 2016

by (shelved 12 times as big-data)
avg rating 3.58 — 437 ratings — published 2014

by (shelved 12 times as big-data)
avg rating 3.66 — 2,110 ratings — published 2013

by (shelved 11 times as big-data)
avg rating 4.34 — 161,922 ratings — published 2019

by (shelved 11 times as big-data)
avg rating 3.98 — 128 ratings — published

by (shelved 11 times as big-data)
avg rating 3.99 — 133 ratings — published 2015

by (shelved 11 times as big-data)
avg rating 4.03 — 214 ratings — published 2012

by (shelved 11 times as big-data)
avg rating 4.35 — 247 ratings — published 2011

by (shelved 10 times as big-data)
avg rating 4.06 — 13,010 ratings — published 2018

by (shelved 9 times as big-data)
avg rating 3.59 — 410 ratings — published 2015

by (shelved 9 times as big-data)
avg rating 4.12 — 1,014 ratings — published 2013

by (shelved 8 times as big-data)
avg rating 3.63 — 436 ratings — published 2013

by (shelved 8 times as big-data)
avg rating 3.34 — 262 ratings — published 2012

by (shelved 8 times as big-data)
avg rating 4.07 — 312 ratings — published 2010

by (shelved 8 times as big-data)
avg rating 3.56 — 117 ratings — published 2012

by (shelved 8 times as big-data)
avg rating 3.35 — 271 ratings — published 2011

by (shelved 7 times as big-data)
avg rating 3.77 — 357 ratings — published 2022

by (shelved 7 times as big-data)
avg rating 3.89 — 169 ratings — published

by (shelved 7 times as big-data)
avg rating 3.68 — 93 ratings — published 2012

by (shelved 7 times as big-data)
avg rating 4.10 — 129 ratings — published

by (shelved 7 times as big-data)
avg rating 3.44 — 165 ratings — published 2004

by (shelved 7 times as big-data)
avg rating 4.00 — 3,857 ratings — published 2015

by (shelved 7 times as big-data)
avg rating 3.85 — 390 ratings — published 2014

by (shelved 7 times as big-data)
avg rating 4.26 — 272 ratings — published 2014

by (shelved 7 times as big-data)
avg rating 3.72 — 673 ratings — published 2013

by (shelved 7 times as big-data)
avg rating 3.74 — 570 ratings — published 2013

by (shelved 6 times as big-data)
avg rating 4.19 — 282,735 ratings — published 2015

by (shelved 6 times as big-data)
avg rating 3.77 — 265 ratings — published 2010

by (shelved 6 times as big-data)
avg rating 4.25 — 189 ratings — published

by (shelved 6 times as big-data)
avg rating 3.91 — 1,133 ratings — published 2015

by (shelved 6 times as big-data)
avg rating 3.55 — 181 ratings — published 2013

by (shelved 6 times as big-data)
avg rating 3.32 — 185 ratings — published 2013

by (shelved 5 times as big-data)
avg rating 4.19 — 844 ratings — published 2022

by (shelved 5 times as big-data)
avg rating 4.09 — 81 ratings — published 2015

by (shelved 5 times as big-data)
avg rating 4.13 — 34,451 ratings — published 2016

by (shelved 5 times as big-data)
avg rating 3.78 — 410 ratings — published

by (shelved 5 times as big-data)
avg rating 4.01 — 2,766 ratings — published 2018
“Search engine query data is not the product of a designed statistical experiment and finding a way to meaningfully analyse such data and extract useful knowledge is a new and challenging field that would benefit from collaboration. For the 2012–13 flu season, Google made significant changes to its algorithms and started to use a relatively new mathematical technique called Elasticnet, which provides a rigorous means of selecting and reducing the number of predictors required. In 2011, Google launched a similar program for tracking Dengue fever, but they are no longer publishing predictions and, in 2015, Google Flu Trends was withdrawn. They are, however, now sharing their data with academic researchers...
Google Flu Trends, one of the earlier attempts at using big data for epidemic prediction, provided useful insights to researchers who came after them...
The Delphi Research Group at Carnegie Mellon University won the CDC’s challenge to ‘Predict the Flu’ in both 2014–15 and 2015–16 for the most accurate forecasters. The group successfully used data from Google, Twitter, and Wikipedia for monitoring flu outbreaks.”
― Big Data: A Very Short Introduction
Google Flu Trends, one of the earlier attempts at using big data for epidemic prediction, provided useful insights to researchers who came after them...
The Delphi Research Group at Carnegie Mellon University won the CDC’s challenge to ‘Predict the Flu’ in both 2014–15 and 2015–16 for the most accurate forecasters. The group successfully used data from Google, Twitter, and Wikipedia for monitoring flu outbreaks.”
― Big Data: A Very Short Introduction

“To which I might add that questions about the psychic, political and social effects of information are as applicable to the computer as to television. Although I believe the computer to be a vastly overrated technology, I mention it here because, clearly, Americans have accorded it their customary mindless inattention; which means they will use it as they are told, without a whimper. Thus, a central thesis of computer technology—that the principal difficulty we have in solving problems stems from insufficient data—will go unexamined. Until, years from now, when it will be noticed that the massive collection and speed-of-light retrieval of data have been of great value to large-scale organizations but have solved very little of importance to most people and have created at least as many problems for them as they may have solved.”
― Amusing Ourselves to Death: Public Discourse in the Age of Show Business
― Amusing Ourselves to Death: Public Discourse in the Age of Show Business