product
1432508Weapons of Math Destructionhttps://www.gandhi.com.mx/weapons-of-math-destruction/phttps://gandhi.vtexassets.com/arquivos/ids/459406/43a4ea73-4c7a-4dac-a6f2-c23693ff98b6.jpg?v=638334896254200000195224MXNCrownInStock/Ebooks/<p><strong><em>NEW YORK TIMES</em> BESTSELLER</strong> <strong>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</strong></p><p><strong>A manual for the twenty-first-century citizen . . . relevant and urgent.<em>Financial Times</em></strong></p><p><strong>NATIONAL BOOK AWARD LONGLIST NAMED ONE OF THE BEST BOOKS OF THE YEAR BY <em>The New York Times Book Review</em> <em>The Boston Globe</em> <em>Wired</em> <em>Fortune</em> <em>Kirkus Reviews</em> <em>The Guardian</em> <em>Nature</em> <em>On Point</em></strong></p><p>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.</p><p>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.</p>...1416542Weapons of Math Destruction195224https://www.gandhi.com.mx/weapons-of-math-destruction/phttps://gandhi.vtexassets.com/arquivos/ids/459406/43a4ea73-4c7a-4dac-a6f2-c23693ff98b6.jpg?v=638334896254200000InStockMXN99999DIEbook20169780553418828_W3siaWQiOiJmM2RkNDQ0Yi0xNzJhLTQ2MWMtOTMzNC1lOThiOTllN2MxMjEiLCJsaXN0UHJpY2UiOjMyNywiZGlzY291bnQiOjc1LCJzZWxsaW5nUHJpY2UiOjI1MiwiaW5jbHVkZXNUYXgiOnRydWUsInByaWNlVHlwZSI6Ildob2xlc2FsZSIsImN1cnJlbmN5IjoiTVhOIiwiZnJvbSI6IjIwMjUtMDItMDVUMDg6MDA6MDBaIiwicmVnaW9uIjoiTVgiLCJpc1ByZW9yZGVyIjpmYWxzZX1d9780553418828_<p><strong><em>NEW YORK TIMES</em> BESTSELLER</strong> <strong>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</strong></p><p><strong>A manual for the twenty-first-century citizen . . . relevant and urgent.<em>Financial Times</em></strong></p><p><strong>NATIONAL BOOK AWARD LONGLIST NAMED ONE OF THE BEST BOOKS OF THE YEAR BY <em>The New York Times Book Review</em> <em>The Boston Globe</em> <em>Wired</em> <em>Fortune</em> <em>Kirkus Reviews</em> <em>The Guardian</em> <em>Nature</em> <em>On Point</em></strong></p><p>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.</p><p>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.</p>...9780553418828_Crownlibro_electonico_b4948a3b-5652-3766-a7a9-ea591e1e4de6_9780553418828;9780553418828_9780553418828Cathy ONeilInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/RandomHouse-epub-ccd30a5e-cc7a-410d-b80f-45f88fb51c44.epub2016-09-06T00:00:00+00:00Crown