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Weapons of Math Destruction : How Big Data Increases Inequality and Threatens Democracy

Description Weapons of Math Destruction : How Big Data Increases Inequality and Threatens Democracy. 'A manual for the 21st-century citizen... accessible, refreshingly critical, relevant and urgent' - Financial Times 'Fascinating and deeply disturbing' - Yuval Noah Harari, Guardian Books of the Year In this New York Times bestseller, Cathy O'Neil, one of the first champions of algorithmic accountability, sounds an alarm on the mathematical models that pervade modern life -- and threaten to rip apart our social fabric. We live in the age of the algorithm. Increasingly, the decisions that affect our lives - where we go to school, whether we get a loan, how much we pay for insurance - are being made not by humans, but by mathematical models. In theory, this should lead to greater fairness: everyone is judged according to the same rules, and bias is eliminated. And yet, as Cathy O'Neil reveals in this urgent and necessary book, the opposite is true. The models being used today are opaque, unregulated, and incontestable, even when they're wrong. Most troubling, they reinforce discrimination. Tracing the arc of a person's life, O'Neil exposes the black box models that shape our future, both as individuals and as a society. These "weapons of math destruction" score teachers and students, sort CVs, grant or deny loans, evaluate workers, target voters, and monitor our health. O'Neil calls on modellers to take more responsibility for their algorithms and on policy makers to regulate their use. But in the end, it's up to us to become more savvy about the models that govern our lives. This important book empowers us to ask the tough questions, uncover the truth, and demand change.

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(PDF) Weapons of Math Destruction: How Big Data Increases ~ PDF / On Jun 1, 2019, Shikha Verma published Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy / Find, read and cite all the research you need on ResearchGate

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Weapons of Math Destruction: How Big Data Increases ~ How Big Data Increases Inequality and Threatens Democracy. Cathy O'Neil. Paperback. List Price: 17.00* * Individual store prices may vary. Other Editions of This Title: Digital Audiobook (9/5/2016) Hardcover (9/6/2016) Description. 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 .

Weapons of Math Destruction: How Big Data Increases ~ Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy - Kindle edition by O'Neil, Cathy. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy.

Brian Marianne - Livres Numériques PDF ~ Télécharger Weapons of Math Destruction : How Big Data Increases Inequality and Threatens Democracy PDF En Ligne Gratuitement - Currently, there was no description for Weapons of Math Destruction : How Big Data Increases Inequality and Threatens Democracy. Will be updated soon. [..] Détails :

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Weapons of Math Destruction: How Big Data Increases ~ Weapons of Math Destruction makes some good points about the use and abuse of math models and big data. The most persuasive arguments focus on the use of predictive modeling and its use in criminal sentencing, monitoring driving habits to determine auto insurance rates, and monitoring physical fitness as part of health insurance coverage.

Weapons of Math Destruction: How Big Data Increases ~ Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy / O'Neil, Cathy / ISBN: 9780553418811 / Kostenloser Versand für alle Bücher mit Versand und Verkauf duch .

Weapons of Math Destruction ~ How big data increases inequality and threatens democracy. Menu. Main; Reviews; Contact; Blog; Main. Weapons of Math Destruction. Weapons of Math Destruction has been Longlisted for the National Book Award! Book description: A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life — and threaten to rip apart our social fabric. We live in the age of the .

Weapons Of Math Destruction: How Big Data Increases ~ Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy Hardcover 痿・September 6, 2016. Find all the books, read about the author, and more. A former Wall Street quant sounds an alarm on the mathematical models that pervade modern life and threaten to rip apart our social fabric.. Livres Ebooks Gratuits T辿l辿charger Weapons of Math Destruction: How Big Data .

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Weapons of math destruction How big data increases ~ How big data increases inequality and threatens democracy, Weapons of math destruction, Cathy O'Neill, Random House Libri. Des milliers de livres avec la livraison chez vous en 1 jour ou en magasin avec -5% de réduction ou téléchargez la version eBook.

Weapons of Math Destruction - Wikipedia ~ Weapons of Math Destruction is a 2016 American book about the societal impact of algorithms, written by Cathy O'Neil.It explores how some big data algorithms are increasingly used in ways that reinforce preexisting inequality.It was longlisted for the 2016 National Book Award for Nonfiction, has been widely reviewed, and won the Euler Book Prize

'Weapons Of Math Destruction' Outlines Dangers Of Relying ~ Her book is called "Weapons Of Math Destruction: How Big Data Increases Inequality And Threatens Democracy." And she is with us now. Welcome to the show. And she is with us now. Welcome to the show.

Januari 2019 - Télécharger Des Livres Électroniques ~ Télécharger Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy PDF Gratuit Januari 28, 2019. di Januari 28, 2019 Tidak ada komentar: Kirimkan Ini lewat Email BlogThis! Berbagi ke Twitter Berbagi ke Facebook Bagikan ke Pinterest. Label: Business Investing. Minggu, 27 Januari 2019. by Admin. Télécharger Bad Blood: Secrets and Lies in a Silicon Valley .

Cathy O'Neil — Wikipédia ~ (en) Cathy O'Neil, Weapons of Math Destruction. How Big Data Increases Inequality and Threatens Democracy, Crown, 2016, 259 p. (ISBN 978-0-553-41881-1) traduction en français parue sous le titre Algorithmes : la bombe à retardement, traduit de l'anglais par Sébastien Marty, préface de Cédric Villani, Paris, Les Arènes, 2018, 340 p.

Cathy O'neil : tous les produits / fnac ~ En poursuivant votre navigation, vous acceptez la politique Cookies, le dépôt de cookies et technologies similaires tiers ou non ainsi que le croisement avec des données que vous nous avez fournies pour améliorer votre expérience, la diffusion des contenus et publicités personnalisés par notre enseigne ou par des partenaires au regard de vos centres d’intérêts, effectuer des études .

"Models as Weapons: Review of Weapons of Math Destruction ~ Cathy O’Neil. 2016. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (New York, NY: Crown) 272 pp. ISBN 978-0553418811. Accessible to a wide readership, Cathy O’Neil’s Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy provides a lucid yet alarming account of the extensive reach of mathematical models in .

Les Big Data entre promesses et dangers - Nonfiction le ~ Les « Big data » sont porteurs de nombreuses promesses, mais comportent aussi de nombreux dangers, comme le montre Cathy O’Neil dans son livre Weapons of Math Destruction. C’est là le récit de son expérience dans le monde des données, d’abord dans la finance puis comme « data scientist », professionnel chargé de construire les algorithmes issus des données.

Cathy O'Neill : tous les produits / fnac ~ Weapons of math destruction How big data increases inequality and threatens democracy Cathy O'Neill (Auteur) 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.

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