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Weapons of Math Destruction

Autorzy

  • kolektiv

Ocena książki

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A New York Times Book Review Notable Book of 2016, this work provides a chilling examination of how algorithms increasingly govern our lives. O'Neil, an expert in the power and risks of mathematical models, uses her analytical skills and analogies to highlight the dangers of big data's weaponization. The book critiques the flawed use of information in assessing creditworthiness, policing, and more, presenting a thought-provoking perspective for those who believe data is infallible. It serves as a vital manual for 21st-century citizens, accessible and critically relevant. O'Neil's insights are both disturbing and illuminating, making a compelling case that our reliance on algorithms has gone too far. The narrative is direct and engaging, making complex topics understandable. It is described as the "The Jungle of our age," essential reading for data scientists and decision-makers who mistakenly think mathematical models can replace human judgment. O'Neil, with her background as an academic mathematician, Wall Street quant, and data scientist, exposes the exploitation inherent in algorithms that masquerade as neutral tools. This book is a fierce and necessary call to recognize the ethical and moral risks of an algorithmically driven world.

Zakup książki

Weapons of Math Destruction, kolektiv

Język
Rok wydania
2017
Oprawa
(miękka)
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3,9
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22797 Ocena

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Tytuł
Weapons of Math Destruction
Język
angielski
Autorzy
kolektiv
Rok wydania
2017
Oprawa
miękka
ISBN10
0553418831
ISBN13
9780553418835
Seria
Ocena
3,85 z 5
Opis
A New York Times Book Review Notable Book of 2016, this work provides a chilling examination of how algorithms increasingly govern our lives. O'Neil, an expert in the power and risks of mathematical models, uses her analytical skills and analogies to highlight the dangers of big data's weaponization. The book critiques the flawed use of information in assessing creditworthiness, policing, and more, presenting a thought-provoking perspective for those who believe data is infallible. It serves as a vital manual for 21st-century citizens, accessible and critically relevant. O'Neil's insights are both disturbing and illuminating, making a compelling case that our reliance on algorithms has gone too far. The narrative is direct and engaging, making complex topics understandable. It is described as the "The Jungle of our age," essential reading for data scientists and decision-makers who mistakenly think mathematical models can replace human judgment. O'Neil, with her background as an academic mathematician, Wall Street quant, and data scientist, exposes the exploitation inherent in algorithms that masquerade as neutral tools. This book is a fierce and necessary call to recognize the ethical and moral risks of an algorithmically driven world.