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E-raamat: Robin Hood Maths: Take Control of the Algorithms That Run Your Life

  • Formaat: EPUB+DRM
  • Ilmumisaeg: 07-Aug-2025
  • Kirjastus: Torva
  • Keel: eng
  • ISBN-13: 9781529948103
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  • Formaat: EPUB+DRM
  • Ilmumisaeg: 07-Aug-2025
  • Kirjastus: Torva
  • Keel: eng
  • ISBN-13: 9781529948103
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Big companies are using maths to take from the poor and give to the rich. Maths professor Noah Giansiracusa shows how you can beat the system using simple hacks anyone can learn.

'See what the algorithms are trying to hide from you, and even better, take back your own decision-making power.' Jordan Ellenberg, author of How Not to Be Wrong

In todays data-driven world, maths is a weapon wielded by banks, insurance companies, tech firms, and government agencies. These organizations use sophisticated algorithms to calculate odds, make predictions, uncover patterns, manage risk, and optimize actions. And they treat you as another number to crunch along the way.

Robin Hood Maths explains the mathematical methods these companies and agencies use to manipulate and profit off of you. Its easy to assume these algorithms are too complex to even understand, let alone use for yourself. But maths professor Noah Giansiracusa makes the compelling case that anyone can use these same methods without any special training.

He offers simple hacks and streamlined formulas for beating the number crunchers at their own game: - MAKE BETTER INVESTMENTS - TAKE CONTROL OF YOUR SOCIAL MEDIA - HANDLE RISK RATIONALLY

With Professor Giansiracusa as your guide, youll learn how to reclaim agency over the decisions you make every day. In a society designed to take from the poor and give to the rich, maths has the potential to be a powerful democratizing force. Robin Hood Maths gives you the tools you need to think for yourself, act in your own best interest, and thrive.

Arvustused

Bounding through the forest of data, wielding math to right wrongs... those who freeze at the mention of mathematics can take heartthis reads like a good yarn. * Kirkus * Rule by algorithms scares a lot of people, and it probably should. In Robin Hood Math, Noah Giansiracusa shows how with a little math training of your own, you can see what the algorithms are trying to hide from you, and even better, take back your own decision-making power. -- Jordan Ellenberg * New York Times bestselling author of Shape and How Not to Be Wrong * This concise book shows that anyone can understand the math used by the big-tech manipulators; anyone can take advantage of the algorithms; anyone can respond thoughtfully to the risks, opportunities, and proliferating digital predators of our brave new world. Its engaging stories and clear explanations offer practical advice and grounds for optimism. -- Paul Romer * Nobel laureate, University Professor in Economics at Boston College, and former Chief Economist of the World Bank * Rule by algorithms scares a lot of people, and it probably should. In Robin Hood Math, Noah Giansiracusa shows how with a little math training of your own, you can see what the algorithms are trying to hide from you, and even better, take back your own decision-making power. -- Jordan Ellenberg * New York Times bestselling author of Shape and How Not to Be Wrong * This concise book shows that anyone can understand the math used by the big-tech manipulators; anyone can take advantage of the algorithms; anyone can respond thoughtfully to the risks, opportunities, and proliferating digital predators of our brave new world. Its engaging stories and clear explanations offer practical advice and grounds for optimism. -- Paul Romer * Nobel laureate, University Professor in Economics at Boston College, and former Chief Economist of the World Bank *

Noah Giansiracusa, PhD is Associate Professor of Mathematics and Data Science at Bentley University and the recipient of multiple research grants and a teaching award. His essays and opinion pieces have been published in the Washington Post, Scientific American, TIME, Wired, Slate, and others. Robin Hood Maths is his first book for general readers.