Weapons Of Math Destruction: How Big Data Increases Inequality And Threatens Democracy

Weapons Of Math Destruction: How Big Data Increases Inequality And Threatens Democracy

SKU: SONG0553418831
Categories : Science & Math
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Categories : Science & Math

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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 Afterworda Manual For The Twentyfirstcentury Citizen . . . Relevant And Urgent.Financial Timesnational 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 Pointwe 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.

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We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.

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To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.

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This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).

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