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Published by Broadway Books 9/5/2017, 2017
ISBN 10: 0553418831 ISBN 13: 9780553418835
Language: English
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Paperback or Softback. Condition: New. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy 0.4. Book.
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Published by Penguin Random House, 2017
ISBN 10: 0553418831 ISBN 13: 9780553418835
Language: English
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Published by Random House USA Inc, New York, 2017
ISBN 10: 0553418831 ISBN 13: 9780553418835
Language: English
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Paperback. Condition: new. Paperback. NEW YORK TIMES BESTSELLER A former Wall Street quant sounds the alarm on Big Data and the mathematical models that threaten to rip apart our social fabricwith a new afterword A manual for the twenty-first-century citizen . . . relevant and urgent.Financial Times NATIONAL BOOK AWARD LONGLIST NAMED ONE OF THE BEST BOOKS OF THE YEAR BY The New York Times Book Review The Boston Globe Wired Fortune Kirkus Reviews The Guardian Nature On Point We live in the age of the algorithm. Increasingly, the decisions that affect our liveswhere we go to school, whether we can get a job or a loan, how much we pay for health insuranceare being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules. But as mathematician and data scientist Cathy ONeil reveals, the mathematical models being used today are unregulated and uncontestable, even when theyre wrong. Most troubling, they reinforce discriminationpropping up the lucky, punishing the downtrodden, and undermining our democracy in the process. Welcome to the dark side of Big Data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Random House LLC US Sep 2017, 2017
ISBN 10: 0553418831 ISBN 13: 9780553418835
Language: English
Seller: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. Neuware -NEW YORK TIMESBESTSELLER A former Wall Street quant sounds the alarm on Big Data and the mathematical models thatthreaten to rip apart our social fabric with a new afterword A manual for the twenty-first-century citizen . . . relevant and urgent. Financial TimesNATIONAL BOOK AWARD LONGLIST NAMED ONE OF THE BEST BOOKS OF THE YEAR BYThe New York Times Book Review TheBoston Globe Wired Fortune Kirkus Reviews The Guardian Nature On PointWe live in the age of the algorithm. Increasingly, the decisions that affect our lives where we go to school, whether we can get a job or a loan, how much we pay for health insurance are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.But as mathematician and data scientist Cathy O Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they re wrong. Most troubling, they reinforce discrimination propping up the lucky, punishing the downtrodden, and undermining our democracy in the process. Welcome to the dark side of Big Data. 288 pp. Englisch.
Published by Random House LLC US Sep 2017, 2017
ISBN 10: 0553418831 ISBN 13: 9780553418835
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. Neuware -NEW YORK TIMESBESTSELLER A former Wall Street quant sounds the alarm on Big Data and the mathematical models thatthreaten to rip apart our social fabric with a new afterword A manual for the twenty-first-century citizen . . . relevant and urgent. Financial TimesNATIONAL BOOK AWARD LONGLIST NAMED ONE OF THE BEST BOOKS OF THE YEAR BYThe New York Times Book Review TheBoston Globe Wired Fortune Kirkus Reviews The Guardian Nature On PointWe live in the age of the algorithm. Increasingly, the decisions that affect our lives where we go to school, whether we can get a job or a loan, how much we pay for health insurance are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.But as mathematician and data scientist Cathy O Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they re wrong. Most troubling, they reinforce discrimination propping up the lucky, punishing the downtrodden, and undermining our democracy in the process. Welcome to the dark side of Big Data. 288 pp. Englisch.
Published by Random House LLC US Sep 2017, 2017
ISBN 10: 0553418831 ISBN 13: 9780553418835
Language: English
Seller: Wegmann1855, Zwiesel, Germany
Taschenbuch. Condition: Neu. Neuware -NEW YORK TIMES BESTSELLER A former Wall Street quant sounds the alarm on Big Data and the mathematical models that threaten to rip apart our social fabric-with a new afterword 'A manual for the twenty-first-century citizen . . . relevant and urgent.'-Financial Times NATIONAL BOOK AWARD LONGLIST NAMED ONE OF THE BEST BOOKS OF THE YEAR BY The New York Times Book Review Boston Globe Wired Fortune Kirkus Reviews The Guardian Nature On Point We live in the age of the algorithm. Increasingly, the decisions that affect our lives-where we go to school, whether we can get a job or a loan, how much we pay for health insurance-are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules. But as mathematician and data scientist Cathy O'Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they're wrong. Most troubling, they reinforce discrimination-propping up the lucky, punishing the downtrodden, and undermining our democracy in the process. Welcome to the dark side of Big Data.
Published by Random House LLC US Sep 2017, 2017
ISBN 10: 0553418831 ISBN 13: 9780553418835
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware - NEW YORK TIMESBESTSELLER A former Wall Street quant sounds the alarm on Big Data and the mathematical models thatthreaten to rip apart our social fabric with a new afterword A manual for the twenty-first-century citizen . . . relevant and urgent. Financial TimesNATIONAL BOOK AWARD LONGLIST NAMED ONE OF THE BEST BOOKS OF THE YEAR BYThe New York Times Book Review TheBoston Globe Wired Fortune Kirkus Reviews The Guardian Nature On PointWe live in the age of the algorithm. Increasingly, the decisions that affect our lives where we go to school, whether we can get a job or a loan, how much we pay for health insurance are being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules.But as mathematician and data scientist Cathy O Neil reveals, the mathematical models being used today are unregulated and uncontestable, even when they re wrong. Most troubling, they reinforce discrimination propping up the lucky, punishing the downtrodden, and undermining our democracy in the process. Welcome to the dark side of Big Data.
Published by Random House USA Inc, New York, 2017
ISBN 10: 0553418831 ISBN 13: 9780553418835
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
Paperback. Condition: new. Paperback. NEW YORK TIMES BESTSELLER A former Wall Street quant sounds the alarm on Big Data and the mathematical models that threaten to rip apart our social fabricwith a new afterword A manual for the twenty-first-century citizen . . . relevant and urgent.Financial Times NATIONAL BOOK AWARD LONGLIST NAMED ONE OF THE BEST BOOKS OF THE YEAR BY The New York Times Book Review The Boston Globe Wired Fortune Kirkus Reviews The Guardian Nature On Point We live in the age of the algorithm. Increasingly, the decisions that affect our liveswhere we go to school, whether we can get a job or a loan, how much we pay for health insuranceare being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules. But as mathematician and data scientist Cathy ONeil reveals, the mathematical models being used today are unregulated and uncontestable, even when theyre wrong. Most troubling, they reinforce discriminationpropping up the lucky, punishing the downtrodden, and undermining our democracy in the process. Welcome to the dark side of Big Data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Random House USA Inc, New York, 2017
ISBN 10: 0553418831 ISBN 13: 9780553418835
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
Paperback. Condition: new. Paperback. NEW YORK TIMES BESTSELLER A former Wall Street quant sounds the alarm on Big Data and the mathematical models that threaten to rip apart our social fabricwith a new afterword A manual for the twenty-first-century citizen . . . relevant and urgent.Financial Times NATIONAL BOOK AWARD LONGLIST NAMED ONE OF THE BEST BOOKS OF THE YEAR BY The New York Times Book Review The Boston Globe Wired Fortune Kirkus Reviews The Guardian Nature On Point We live in the age of the algorithm. Increasingly, the decisions that affect our liveswhere we go to school, whether we can get a job or a loan, how much we pay for health insuranceare being made not by humans, but by machines. In theory, this should lead to greater fairness: Everyone is judged according to the same rules. But as mathematician and data scientist Cathy ONeil reveals, the mathematical models being used today are unregulated and uncontestable, even when theyre wrong. Most troubling, they reinforce discriminationpropping up the lucky, punishing the downtrodden, and undermining our democracy in the process. Welcome to the dark side of Big Data. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.