- Paperback: 256 pages
- Publisher: John Murray (10 Oct. 2013)
- Language: English
- ISBN-10: 1848547927
- ISBN-13: 978-1848547926
- Product Dimensions: 13.1 x 1.7 x 19.7 cm
- Average Customer Review: 52 customer reviews
- Amazon Bestsellers Rank: 53,750 in Books (See Top 100 in Books)
Big Data: A Revolution That Will Transform How We Live, Work and Think Paperback – 10 Oct 2013
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'Just as water is wet in a way that individual water molecules aren't, big data can reveal information in a way that individual bits of data can't. Mayer-Schonberger and Cukier show us the surprising ways that enormous, complex and messy collections of data can be used to predict everything from shopping patterns to flu outbreaks' (Clay Shirky, author of Cognitive Surplus and Here Comes Everybody)
'Every decade, there are a handful of books that change the way you look at everything. This is one of those books. Society has begun to reckon the change that big data will bring. This book is an incredibly important start' (Lawrence Lessig, Roy L. Furman Professor of Law, Harvard Law School, and author of Remix and Free Culture)
'An optimistic and practical look at the big data revolution - just the thing to get your head around the big changes already underway and the bigger changes to come' (Cory Doctorow, Boing Boing)
'In Big Data, Mayer-Schonberger and Cukier break new ground in identifying how today's avalanche of information fundamentally shifts our basic understanding of the world. Argued boldly and written beautifully, the book clearly shows how companies can unlock value, how policymakers need to be on guard, and how everyone's cognitive models need to change' (Joi Ito, Director of the MIT Media Lab)
'This brilliant book cuts through the mystery and the hype surrounding big data. A must-read for anyone in business, information technology, public policy, intelligence, and medicine. And anyone else who is just plain curious about the future' (John Seely Brown, former Chief Scientist, Xerox Corp. and head of Xerox Palo Alto Research Centre)
'The book teems with great insights on the new ways of harnessing information, and offers a convincing vision of the future. It is essential reading for anyone who uses - or is affected by - big data' (Jeff Jonas, IBM Fellow & Chief Scientist, IBM Entity Analytics)
'Big Data is a must-read for anyone who wants to stay ahead of one of the key trends defining the future of business' (Marc Benioff, Chairman and CEO, salesforce.com)
An excellent primer (Financial Times)
Raises profound questions (Evening Standard)
Edward Snowdon exposed Big Data. Here is the ultimate guide. Cory Doctorow (Boing Boing) says: "Just the thing to get your head around the big changes already underway".See all Product description
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I would also recommend this book to the anyone interested in studying or curious about "the concept machine learning and what role the big data can play." Sometimes, you may wonder how Cortana finds out when it is the time to leave for work or home; or it predicts how the traffic would be, while you are on your way to work or home. If you do wonder about this, then you must read this book.
Author's acknowledgement of the role of "algorithmists" in Big data is also plausible. Imagine the day the nutters become part of the law society. I think this would inject honesty into the "how most lawyers handle cases that they are working on."
You can skip this paragraph: If you ever wondered how Neural Network proponents will ever succeed to teach a basic Times table to algorithm that requires two input numbers, like 8 time 7, then after reading this book, you will note Big Data will may help. Note that when we are young and attending elementary schools, most of us learn the Times table by memorising. As we grow, we simply identify a strategy where we, for example, think 7 Times table goes up by 7 and 8 Times table goes up by 8. Hence, no need to memories. In this instance, Big Data can be used to bridge the gap between the Neural Network and those, like me, who very much believe that we should focusing on mimicking how our neocortext works and complement it with Algorithms that make our machines perform better than our neocortext. In this paradigm, the Big Data will be used for playing the role of the memory and experience, while still we will be able to create strategies that can be serialised into and de-serialised from the Big Data repository.
The author does also go on about privacy and the challenges Big Data faces. I think the question to ask is: if we accepted to use the cloud, have we not sleepwalked into sharing our data with those, who are there to analyse data? Is it the machine that should only have an access to our private data; or also those, who own this smart machines? Would the combination of Big Data and Intelligent machines bring about the creation of all-knowing being that cannot only know our past, but can also predict our future activities. And imagine what impact this would have on currency/stock traders? Do not even think politics here, as this will get more scarier.
If you have ever watched the Movie "Her" and reasoned with the poor man, who fallen for OS that knows him very well, then think about the consequence of intelligent machines, powered by Big Data! And this is another reason to read this book.
However, we should never fear exploring what we are capable of doing for the good of this world and its inhabitants; but should also be prepare to ensure that the all-knowing thing, which we are in the process of creating, is not one dictator, but one that lives and functions within democratic system.
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