Robin Hood Maths

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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 WrongIn… Přejít na celý popis

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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 WrongIn today’s 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. It’s 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 RATIONALLYWith Professor Giansiracusa as your guide, you’ll 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.

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Nakladatel
Transworld Publishers
Rozměr
242 x 162 x 26
jazyk
angličtina
Vazba
pevná vazba
Hmotnost
450 g
isbn
978-1-911709-79-4
Počet stran
256
datum vydání
7.08.2025
ean
9781911709794

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