Weapons of Math Destruction is not a math book, and it is not investigative journalism. Weapons of Math Destruction is an easy read, but a frustrating one. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy is out now and published by Crown. But as a tool for punishing and disenfranchising, theyâre a nightmare. Introducing Cathy O'Neil. Formatted according to the APA Publication Manual 7 th edition. âWeapons of Math Destruction is a fantastic, plainspoken call to arms. The book claims to be about the misuse of big data and machine learning to guide decisions, how that harms people and leads to bad outcomes, and how to fix it. Mathematical models are working behind the scenes, increasing inequality and threatening our democracy. 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. Cathy OâNeilâs book ⦠It acknowledges that models arenât going away: As a tool for identifying people in difficulty, they are amazing. If you need more information on APA citations check out our APA citation guide or start citing with the BibGuru APA citation generator. There are multiple problems with mathematical models that score people and sort them according to various criteria: they are opaque, unregulated and difficult to contest. Weapons of Math Destruction by Cathy OâNeil pulls back the covers, revealing areas where math is doing harm. Games are reaching a point OâNeil describes as a âweapon of math destructionâ, or WMD for short. Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Cathy O'Neil, author of the blog mathbabe.org and several books on data science, including Weapons of Math Destruction.. It is short -- you can read it in an afternoon -- and it doesn't have time or space for either detailed data analysis (there are no formulas or graphs) or complete histories of the models she considers. Simply copy it to the References page as is. WMDs work like black-boxes which take poor proxies . and algorithms âweapons of math destructionâ (WMD) because of their attributes: opacity, scale and damage. No billionaire owner, ⦠Weapons of Math Destruction is a book about the perils of big data, written by Cathy OâNeil, a mathematician and the author of mathbabe.org.It explores how algorithms are used in ways that reinforce pre-existing inequality. Here is the podcast link.. 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 These âweapons of math destructionâ score teachers and students, sort résumés, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health. How to cite âWeapons of math destructionâ by Cathy O'Neil APA citation. Weapons of Math Destruction makes some good points about the use and abuse of math models and big data. ⦠OâNeil was originally a researcher at Barnard College, but she left academia in 2007 to work at the hedge fund D. E. Shaw (the one Jeff Bezos originally worked for.) Algorithms âweapons of Math Destruction: how Big Data Increases inequality and threatening our.. 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