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* Read * Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy by Cathy O'Neil ↠ eBook or Kindle ePUB. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy "Stop Using Math as a Weapon" according to Amazon Customer. So here you are on Amazon's web page, reading about Cathy O'Neil's new book, Weapons of Math Destruction. Amazon hopes you buy the book (and so do I, it's great!). But Amazon also hopes it can sell you some other books while you're here. That's why, in a prominent place on the page, you see a section entitled:Customers Who Bought This Item Also BoughtThis section is Amazon's way of using what it knows -- which book you're looking at, an
| Title | : | Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy |
| Author | : | |
| Rating | : | 4.59 (752 Votes) |
| Asin | : | 0553418815 |
| Format Type | : | paperback |
| Number of Pages | : | 272 Pages |
| Publish Date | : | 2016-02-19 |
| Language | : | English |
In theory, this should lead to greater fairness: Everyone is judged according to the same rules, and bias is eliminated.But as Cathy O’Neil reveals in this urgent and necessary book, the opposite is true. Most troubling, they reinforce discrimination: If a poor student can’t get a loan because a lending model deems him too risky (by virtue of his zip code), he’s then cut off from the kind of education that could pull him out of poverty, and a vicious spiral ensues. The models being used today are opaque, unregulated, and uncontestable, even when they’re wrong. Models are propping up the lucky and punishing the downtrodden, creating a “toxic cocktail for democracy.” Welcome to the dark side of Big Data.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 ré
E. O’Neil started the Lede Program in Data Journalism at Columbia and is the author of Doing Data Science. in mathematics from Harvard and taught at Barnard College before moving to the private sector, where she worked for the hedge fund D. Shaw. . She earned a Ph.D. She appears weekly on the Slate Money podcast. She then worked as a data scientist at vari
"Stop Using Math as a Weapon" according to Amazon Customer. So here you are on Amazon's web page, reading about Cathy O'Neil's new book, Weapons of Math Destruction. Amazon hopes you buy the book (and so do I, it's great!). But Amazon also hopes it can sell you some other books while you're here. That's why, in a prominent place on the page, you see a section entitled:Customers Who Bought This Item Also BoughtThis section is Amazon's way of using what it knows -- which book you're looking at, and sales data collected across all its customers -- to recommend other books that you might be interested in. It's a very simple, and successf. Models without Morality Graham Webster This is a well written book about the data science algorithms that can influence our lives. If all they were responsible for was recommending other books we might be interested in reading, then the topic wouldn't be very important. However, they influence an increasing number of areas in our lives, from insurance pricing, college admissions to hiring decisions, so it is important that the assumptions that underlay these models be explicit and transparent. That's mostly not the case, and in fact, many models take into account data for which it is not legal for a human to take. "One of the best and most interesting books I have ever read" according to Jane Susan Andraka. One of the best and most interesting books I have ever read. It expertly questions and investigates the previously untouchable algorithms we never see. It had me on the edge of my seat until the last page!
Strangelove or Catch-22. Bonus points: it’s accessible, compelling, and—something I wasn’t expecting—really fun to read.”—Inside Higher Ed“O’Neil is passionate about exposing the harmful effects of Big Data–driven mathematical models (what she calls WMDs), and she’s uniquely qualified for the task… She makes a convincing case that many mathematical models today are engineered to benefit the powerful at the expense of the powerless… and has written an entertaining and timely book that gives readers the tools to cut through the ideological fog obscuring the dangers of the Big Data revolutio
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