4 edition of **Weapons of Math Destruction** found in the catalog.

- 177 Want to read
- 12 Currently reading

Published
**Sep 05, 2017** by Broadway Books in USA .

Written in English

The Physical Object | |
---|---|

Format | Paperback |

Number of Pages | 288 |

ID Numbers | |

Open Library | OL26445402M |

ISBN 10 | 9780553418835 |

She also wrote The New York Times bestselling book, "Weapons of Math Destruction," which was assigned to all incoming members of the Class of last summer as part of the Penn Reading Project. O'Neil spoke for approximately 30 minutes and subsequently answered questions from the audience.

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Weapons of Math Destruction is not a math book, and it is not investigative journalism. 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 by: 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 algorithm.

Weapons of Math Destruction is a timely book about the increasing influence of algorithms to control the news we see, the jobs we can get and the politicians we vote for; algorithms working tirelessly on/5(K).

Weapons of Math Destruction opens the curtain on algorithms that exploit people and distort Weapons of Math Destruction book truth while posing as neutral mathematical tools.

This book is wise, fierce, and desperately necessary.” — Jordan Ellenberg, University of Wisconsin-Madison, author of How Not To Be WrongBrand: Crown Publishing Group. Weapons of Math Destruction Weapons of Math Destruction book a book focused on the ways mathematical models (algorithms) can increase inequality in the US.

O’Neil provides some scary examples of how much damage algorithms can do. According to her, algorithms are often used with good intentions, but. Read "Weapons of Math Destruction How Big Data Increases Inequality and Threatens Democracy" by Cathy O'Neil available from Rakuten Kobo.

NEW YORK TIMES BESTSELLER • A former Wall Street quant sounds the alarm on Big Data and the mathematical models that thr /5(25).

WEAPONS OF MATH DESTRUCTION. We live in the age of the algorithm. Increasingly, the decisions that affect our lives—where we go to school, whether we get a car loan, how much we pay for health insurance—are being made not by humans, but by mathematical models.

图书Weapons of Math Destruction 介绍、书评、论坛及推荐. Catherine ("Cathy") Helen O'Neil is an American mathematician and the author of the blog and several books on data science, including Weapons of Math Weapons of Math Destruction book.

Weapons of Math Destruction Summary. Weapons of Math Destruction is a book by Cathy O’Neil that examines the dangers of using “Big Weapons of Math Destruction book to make decisions that can alter the course of people. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy.

avg. rating Ratings. A former Wall Street quant sounds an alarm on mathematical modeling—a pervasive new force in society Weapons of Math Destruction book threatens to undermine democracy and widen inequality.

" Weapons of Math Destruction is the Big Data story Silicon Weapons of Math Destruction book proponents won't tell [It] pithily exposes flaws in how information is used to assess everything from creditworthiness to policing tactics A thought-provoking read for anyone inclined to believe that data doesn't lie/5().

Weapons of math destruction, which O’Neil refers Weapons of Math Destruction book throughout the book as Weapons of Math Destruction book, are mathematical models or algorithms that claim to quantify important traits:.

“ Weapons of Math Destruction is the Big Data story Silicon Valley proponents won’t tell. [It] pithily exposes flaws in how information is used to assess everything from creditworthiness to policing tactics. a thought-provoking read for anyone inclined to believe that data doesn’t lie.”.

WEAPONS OF MATH DESTRUCTION traces the arc of a person’s life, from school to retirement, and looks at models that score teachers and students, sort résumés, grant (or deny) loans, evaluate workers, target voters, set parole and prison sentences, and monitor our health. The models being used are opaque, unregulated, and uncontestable, even.

Free shipping on orders of $35+ from Target. Read reviews and buy Weapons of Math Destruction - by Cathy O'Neil (Paperback) at Target. Get it today with Same Day Delivery, Order Pickup or Drive Up.

“Weapons of Math Destruction is an urgent critique of the rampant misuse of math in nearly every aspect of our lives.” —Boston Globe “A fascinating and deeply disturbing book.”/5().

A Harvard PhD graduate in mathematics and actively involved in the Occupy movement, O’Neil’s experience is crucial to her new book: Weapons of Author: Mona Chalabi.

With this post we conclude our reading of Cathy O’Neil’s Weapons of Math Destruction. (If you’d like to catch up with the reading schedule, click here. All posts for this reading, including the schedule one, are grouped here.). Here I’ll summarize this. The Lowdown: This Weapons of Math Destruction Summary is based on the popular book from Cathy O’Neil, which shows how Algorithms are guised as factual, but are still biased and can lead to people to believe ideas which are not true.

Never miss a new summary. 📘 We post up to 10 new summaries every month in various categories. In her book “Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy,” Cathy O’Neil shows how businesses, governments and other organizations have recently come to depend on mathematical models to inform their choices, and she illustrates the consequent dangers to which we are vulnerable.

Weapons of Math Destruction opens the curtain on algorithms that exploit people and distort the truth while posing as neutral mathematical tools.

This book is wise, fierce, and desperately necessary.” —Jordan Ellenberg, University of Wisconsin-Madison, author of How Not To Be Wrong. • Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy is published by Penguin.

To order a copy for £ (RRP £) go to or call Author: PD Smith. WEAPONS OF MATH DESTRUCTION “Weapons of Math Destruction is a fantastic, plainspoken call to arms.

It acknowledges that models aren’t going away: As a tool for identifying people in difficulty, they are amazing. But as a tool for punishing and disenfranchising, they’re a nightmare.

Cathy O’Neil’s book is important precisely because she. Book presentations begin. (All slides are posted, so notes should be viewed as supplements to|not replacements for|the slides.) 1 Weapons of Math Destruction by Cathy O’ Neil How does big data increase inequality and threaten democracy.

Weapons of Math Destruction (WMDs) are often created with good intentions, but often. Praise for Weapons of Math Destruction “O’Neil’s book offers a frightening look at how algorithms are increasingly regulating people Her knowledge of the power and risks of mathematical models, coupled with a gift for analogy, makes her one of the most valuable observers of.

Book Review: Weapons of Math Destruction by Cathy O’Neil Novem by Daniel Gutierrez 3 Comments Normally the books I review for insideBIGDATA play the role of cheerleader for our focus on technologies like big data, data science, machine learning, AI and deep learning.

Weapons of Math Destruction opens the curtain on algorithms that exploit people and distort the truth while posing as neutral mathematical tools. This book is wise, fierce, and desperately necessary -- Jordan Ellenberg, author of How Not To Be Wrong O'Neil has become a.

" Weapons of Math Destruction opens the curtain on algorithms that exploit people and distort the truth while posing as neutral mathematical tools.

This book is wise, fierce, and desperately necessary." (Jordan Ellenberg, University of Wisconsin-Madison, author of How Not to Be Wrong). These “weapons of math destruction” score teachers and students, sort résumés, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health.

O’Neil calls on modelers to take more responsibility for their algorithms and on policy makers to regulate their use. Weapons of Math Destruction opens the curtain on algorithms that exploit people and distort the truth while posing as neutral mathematical tools.

This book is wise, fierce, and desperately necessary -- Jordan Ellenberg, author of How Not To Be Wrong O'Neil has become a whistle-blower for the world of Big Data /5(K). Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy by Cathy O'Neil.

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.

Weapons of Math Destruction, book review: Democracy in the age of the algorithm. Our lives are increasingly influenced by mathematical models and algorithms that are hard to. Weapons of Math Destruction should be required reading for anybody whose life will be affected by Big Data, which is to say: required reading for everyone.

It’s a wake-up call – a journalistic heir to The Jungle and Silent Spring. Like those books, it should change the course of American society.”/5().

Start your hour free trial to unlock this Weapons of Math Destruction study guide and get instant access to the following: Summary; Chapter Summaries will help you with any book. With this post we continue our reading of Cathy O’Neil’s Weapons of Math Destruction. (If you’d like to catch up with the reading schedule, click here.

All posts for this reading, including the schedule one, are grouped here.). Here I’ll summarize this. These weapons of math destruction score teachers and students, sort rsums, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health.

ONeil calls on modelers to take more responsibility for their algorithms and on policy makers to regulate their use. WEAPONS OF MATH DESTRUCTION How Big Data Increases Inequality and Threatens Democracy By Cathy O’Neil pp.

Crown, $ O’Neil’s book offers a. Cathy O’Neil talked about her book Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy, in which she examines how data algorithms impact ’s spoke.

Weapons of Math Destruction () offers a critical look at the growing number of algorithms that could be impacting your day-to-day life in ways you’re not even aware of. As more businesses and services, including schools and police, use algorithms to automate jobs, an increasing number of people are suffering the adverse effects.

So don’t leave yourself at the mercy of automation. “Weapons of Math Destruction,” by Cathy O’Neil. Cathy O’Neil is a mathematician and data scientist who writes a blog at new book, “Weapons of Math Destruction,” is just out, and it’s a blistering journey through big data’s already dangerous effects on society, and a sobering preview of what could be coming if we’re not careful.

pdf Book Review: Weapons of Math Destruction (Cathy O’Neil) She earned a Ph. D in mathematics from Harvard and pdf at Barnard College before moving to the private sector, where she worked for the hedge fund D.

E. Shaw. a Weapon of Math Destruction (WMD) — which as far as I can recall are algorithms/model that are:Author: Hafidz Zulkifli.Book Club–“Weapons of Math Destruction”, part 3 I’m going to go in a little different direction this week–less on personal reflections, and trying to more directly answer Bryan Alexander’s discussion questions from his post on this week’s readings.

Weapons ebook Math Destruction is a well-written, entertaining and very valuable book. It explains why you are more ebook to be put on hold if your credit rating is too low; how “red-lining” (allocating or denying access to finance based on the ethnic make-up of applicants’ neighbourhoods) still operates in the US; the racism that is.